Misinformation

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A sign campaigning for the successful Vote Leave in the 2016 United Kingdom European Union membership referendum. The claim made by the sign was widely considered to have been an example of misinformation. Vote Leave poster, Omagh.jpg
A sign campaigning for the successful Vote Leave in the 2016 United Kingdom European Union membership referendum. The claim made by the sign was widely considered to have been an example of misinformation.

Misinformation is incorrect or misleading information. [5] [6] Misinformation can exist without specific malicious intent; disinformation is distinct in that it is deliberately deceptive and propagated. [7] [8] [9] Misinformation can include inaccurate, incomplete, misleading, or false information as well as selective or half-truths. [10] [11] In January 2024, the World Economic Forum identified misinformation and disinformation, propagated by both internal and external interests, to "widen societal and political divides" as the most severe global risks within the next two years. [12]

Contents

Much research on how to correct misinformation has focused on fact-checking. [13] However, this can be challenging because the information deficit model does not necessarily apply well to beliefs in misinformation. [14] [15] Various researchers have also investigated what makes people susceptible to misinformation. [15] People may be more prone to believe misinformation because they are emotionally connected to what they are listening to or are reading. Social media has made information readily available to society at anytime, and it connects vast groups of people along with their information at one time. [16] Advances in technology have impacted the way people communicate information and the way misinformation is spread. [13] Misinformation can influence people's beliefs about communities, politics, medicine, and more. [16] [17] The term also has the potential to be used to obfuscate legitimate speech and warp political discourses.

The term came into wider recognition during the mid-1990s through the early 2020s, when its effects on public ideological influence began to be investigated. However, misinformation campaigns have existed for hundreds of years. [18] [19]

Terminology

Misinformation is often used as an umbrella term to refer to many types of false information; more specifically it may refer to false information that is not shared to intentionally deceive or cause harm. [20] Those who do not know that a piece of information is untrue, for instance, might disseminate it on social media in an effort to help. [21]

Disinformation is created or spread by a person or organization actively attempting to deceive their audience. [10] In addition to causing harm directly, disinformation can also cause indirect harm by undermining trust and obstructing the capacity to effectively communicate information with one another. [10] Disinformation might consist of information that is partially or completely fabricated, taken out of context on purpose, exaggerated, or omits crucial details. [22] Disinformation can appear in any medium including text, audio, and imagery. [22] The distinction between mis- and dis-information can be muddy because the intent of someone sharing false information can be difficult to discern.

Malinformation is accurate information that is disseminated with malicious intent. [21] This includes sensitive material that is disseminated in order to hurt someone or their reputation. [21] Examples include doxing, revenge porn, and editing videos to remove important context or content. [23]

Misinformation is information that was originally thought to be true but was later discovered not to be true, and often applies to emerging situations in which there is a lack of verifiable information or changing scientific understanding. [24] For example, the scientific guidance around infant sleep positions has evolved over time, [25] and these changes could be a source of confusion for new parents. Misinformation can also often be observed as news events are unfolding and questionable or unverified information fills information gaps. Even if later retracted, false information can continue to influence actions and memory. [26]

Rumors are unverified information not attributed to any particular source and may be either true or false. [27]

Definitions of these terms may vary between cultural contexts. [28]

History

Early examples include the insults and smears spread among political rivals in Imperial and Renaissance Italy in the form of pasquinades. [29] These are anonymous and witty verses named for the Pasquino piazza and talking statues in Rome. In pre-revolutionary France, "canards", or printed broadsides, sometimes included an engraving to convince readers to take them seriously.[ citation needed ]

During the summer of 1587, continental Europe anxiously awaited news as the Spanish Armada sailed to fight the English. The Spanish postmaster and Spanish agents in Rome promoted reports of Spanish victory in hopes of convincing Pope Sixtus V to release his promised one million ducats upon landing of troops. In France, the Spanish and English ambassadors promoted contradictory narratives in the press, and a Spanish victory was incorrectly celebrated in Paris, Prague, and Venice. It was not until late August that reliable reports of the Spanish defeat arrived in major cities and were widely believed; the remains of the fleet returned home in the autumn. [30]

A lithograph from the first large scale spread of disinformation in America, the Great Moon Hoax Great-Moon-Hoax-1835-New-York-Sun-lithograph-298px.jpg
A lithograph from the first large scale spread of disinformation in America, the Great Moon Hoax

The first recorded large-scale disinformation campaign was the Great Moon Hoax, published in 1835 in the New York The Sun , in which a series of articles claimed to describe life on the Moon, "complete with illustrations of humanoid bat-creatures and bearded blue unicorns". [31] The challenges of mass-producing news on a short deadline can lead to factual errors and mistakes. An example of such is the Chicago Tribune 's infamous 1948 headline "Dewey Defeats Truman". [32]

Social media platforms allow for easy spread of misinformation. Post-election surveys in 2016 suggest that many individuals who intake false information on social media believe them to be factual. [33] The specific reasons why misinformation spreads through social media so easily remain unknown. A 2018 study of Twitter determined that, compared to accurate information, false information spread significantly faster, further, deeper, and more broadly. [34] Similarly, a research study of Facebook found that misinformation was more likely to be clicked on than factual information.[ citation needed ]

Harry S. Truman displaying the inaccurate Chicago Tribune headline, an example of misinformation Dewey Defeats Truman.jpg
Harry S. Truman displaying the inaccurate Chicago Tribune headline, an example of misinformation

Moreover, the advent of the Internet has changed traditional ways that misinformation spreads. [35] During the 2016 United States presidential election, content from websites deemed 'untrustworthy' reached up to 40% of Americans, despite misinformation making up only 6% of overall news media. [36] Misinformation has been spread during many health crises. [17] [28] For example, misinformation about alternative treatments was spread during the Ebola outbreak in 2014–2016. [37] [38] During the COVID-19 pandemic, the proliferation of mis- and dis-information was exacerbated by a general lack of health literacy. [39]

Causes

Factors that contribute to beliefs in misinformation are an ongoing subject of study. [40] According to Scheufele and Krause, misinformation belief has roots at the individual, group and societal levels. [41] At the individual level, individuals have varying levels of skill in recognizing mis- or dis-information and may be predisposed to certain misinformation beliefs due to other personal beliefs, motivations, or emotions. [41] However, evidence for the hypotheses that believers in misinformation use more cognitive heuristics and less-effortfull processing of information have produced mixed results. [42] [43] [44] At the group level, in-group bias and a tendency to associate with like-minded or similar people can produce echo chambers and information silos that can create and reinforce misinformation beliefs. [41] [45] At the societal level, public figures like politicians and celebrities can disproportionately influence public opinions, as can mass media outlets. [46] In addition, societal trends like political polarization, economic inequalities, declining trust in science, and changing perceptions of authority contribute to the impact of misinformation. [41]

Historically, people have relied on journalists and other information professionals to relay facts. [47] As the number and variety of information sources has increased, it has become more challenging for the general public to assess their credibility. [48] This growth of consumer choice when it comes to news media allows the consumer to choose a news source that may align with their biases, which consequently increases the likelihood that they are misinformed. [49] 47% of Americans reported social media as their main news source in 2017 as opposed to traditional news sources. [50] Polling shows that Americans trust mass media at record-low rates, [51] and that US young adults place similar levels of trust in information from social media and from national news organizations. [52] The pace of the 24 hour news cycle does not always allow for adequate fact-checking, potentially leading to the spread of misinformation. [53] Further, the distinction between opinion and reporting can be unclear to viewers or readers. [54] [55]

Sources of misinformation can appear highly convincing and similar to trusted legitimate sources. [56] For example, misinformation cited with hyperlinks has been found to increase readers' trust. Trust is even higher when these hyperlinks are to scientific journals, and higher still when readers do not click on the sources to investigate for themselves. [57] [58] Research has also shown that the presence of relevant images alongside incorrect statements increases both their believability and shareability, even if the images do not actually provide evidence for the statements. [59] [60] For example, a false statement about macadamia nuts accompanied by an image of a bowl of macadamia nuts tends to be rated as more believable than the same statement without an image. [59]

The translation of scientific research into popular reporting can also lead to confusion if it flattens nuance, sensationalizes the findings, or places too much emphasis on weaker levels of evidence. For instance, researchers have found that newspapers are more likely than scientific journals to cover observational studies and studies with weaker methodologies. [61] Dramatic headlines may gain readers' attention, but they do not always accurately reflect scientific findings. [62]

Human cognitive tendencies can also be a contributing factor to misinformation belief. One study found that an individual's recollection of political events could be altered when presented with misinformation about the event, even when primed to identify warning signs of misinformation. [63] Misinformation may also be appealing by seeming novel or incorporating existing steoreotypes. [64]

Identification

Research has yielded a number of strategies that can be employed to identify misinformation, many of which share common features. According to Anne Mintz, editor of Web of Deception: Misinformation on the Internet, one of the simplest ways to determine whether information is factual is to use common sense. [65] Mintz advises that the reader check whether the information makes sense and whether the source or sharers of the information might be biased or have an agenda. However, because emotions and preconceptions heavily impact belief, this is not always a reliable strategy. [15] Readers tend to distinguish between unintentional misinformation and uncertain evidence from politically or financially motivated misinformation. [66] The perception of misinformation depends on the political spectrum, with right-wing readers more concerned with attempts to hide reality. [66] It can be difficult to undo the effects of misinformation once individuals believe it to be true. [67] Individuals may desire to reach a certain conclusion, causing them to accept information that supports that conclusion, and are more likely to retain and share information if it emotionally resonates with them. [68]

The SIFT Method, also called the Four Moves, is one commonly taught method of distinguishing between reliable and unreliable information. [69] This method instructs readers to first Stop and begin to ask themselves about what they are reading or viewing - do they know the source and if it is reliable? Second, readers should Investigate the source. What is the source's relevant expertise and do they have an agenda? Third, a reader should Find better coverage and look for reliable coverage on the claim at hand to understand if there is a consensus around the issue. Finally, a reader should Trace claims, quotes, or media to their original context: has important information been omitted, or is the original source questionable?

Visual misinformation presents particular challenges, but there are some effective strategies for identification. [70] Misleading graphs and charts can be identified through careful examination of the data presentation; for example, truncated axes or poor color choices can cause confusion. [71] Reverse image searching can reveal whether images have been taken out of their original context. [72] There are currently some somewhat reliable ways to identify AI-generated imagery, [73] [74] but it is likely that this will become more difficult to identify as the technology advances. [75] [76]

A person's formal education level and media literacy do correlate with their ability to recognize misinformation. [77] [78] People who are familiar with a topic, the processes of researching and presenting information, or have critical evaluation skills are more likely to correctly identify misinformation. However, these are not always direct relationships. Higher overall literacy does not always lead to improved ability to detect misinformation. [79] Context clues can also significantly impact people's ability to detect misinformation. [80]

Martin Libicki, author of Conquest In Cyberspace: National Security and Information Warfare, [81] notes that readers should aim to be skeptical but not cynical. Readers should not be gullible, believing everything they read without question, but also should not be paranoid that everything they see or read is false.

Countermeasures

Factors that contribute to the effectiveness of a corrective message include an individual's mental model or worldview, repeated exposure to the misinformation, time between misinformation and correction, credibility of the sources, and relative coherency of the misinformation and corrective message. Corrective messages will be more effective when they are coherent and/or consistent with the audience's worldview. They will be less effective when misinformation is believed to come from a credible source, is repeated prior to correction (even if the repetition occurs in the process of debunking), and/or when there is a time lag between the misinformation exposure and corrective message. Additionally, corrective messages delivered by the original source of the misinformation tend to be more effective. [82] However, misinformation research has often been criticized for its emphasis on efficacy (i.e., demonstrating effects of interventions in controlled experiments) over effectiveness (i.e., confirming real-world impacts of these interventions). [83] Critics argue that while laboratory settings may show promising results, these do not always translate into practical, everyday situations where misinformation spreads. [84] Research has identified several major challenges in this field: an overabundance of lab research and a lack of field studies, the presence of testing effects that impede intervention longevity and scalability, modest effects for small fractions of relevant audiences, reliance on item evaluation tasks as primary efficacy measures, low replicability in the Global South and a lack of audience-tailored interventions, and the underappreciation of potential unintended consequences of intervention implementation. [83]

Fact-checking and debunking

Websites have been created to help people to discern fact from fiction. For example, the site FactCheck.org aims to fact check the media, especially viral political stories. The site also includes a forum where people can openly ask questions about the information. [85] Similar sites allow individuals to copy and paste misinformation into a search engine and the site will investigate it. [86] Some sites exist to address misinformation about specific topics, such as climate change misinformation. DeSmog, formerly The DeSmogBlog, publishes factually accurate information in order to counter the well-funded disinformation campaigns spread by motivated deniers of climate change. Science Feedback focuses on evaluating science, health, climate, and energy claims in the media and providing an evidence-based analysis of their veracity. [87]

Flagging or eliminating false statements in media using algorithmic fact checkers is becoming an increasingly common tactic to fight misinformation. Google and many social media platforms have added automatic fact-checking programs to their sites and created the option for users to flag information that they think is false. [86] Google provides supplemental information pointing to fact-checking websites in search results for controversial topics. On Facebook, algorithms may warn users if what they are about to share is likely false. [49] In some cases social media platforms' efforts to curb the spread of misinformation has resulted in controversy, drawing criticism from people who see these efforts as constructing a barrier to their right to expression. [88]

One-on-one correction

Within the context of personal interactions, some strategies for debunking have the potential to be effective. Simply delivering facts is frequently ineffective because misinformation belief is often not the result of a deficit of accurate information, [15] although individuals may be more likely to change their beliefs in response to information shared by someone with whom they have close social ties, like a friend or family member. [89] More effective strategies focus on instilling doubt and encouraging people to examine the roots of their beliefs. [90] In these situations, tone can also play a role: expressing empathy and understanding can keep communication channels open. It is important to remember that beliefs are driven not just by facts but by emotion, worldview, intuition, social pressure, and many other factors. [15]

Social correction

Fact-checking and debunking can be done in one-on-one interactions, but when this occurs on social media it is likely that other people may encounter and read the interaction, potentially learning new information from it or examining their own beliefs. This type of correction has been termed social correction. [91] Researchers have identified three ways to increase the efficacy of these social corrections for observers. [91] First, corrections should include a link to a credible source of relevant information, like an expert organization. Second, the correct information should be repeated, for example at the beginning and end of the comment or response. Third, an alternative explanation should be offered. An effective social correction in response to a statement that chili peppers can cure COVID-19 might look something like: “Hot peppers in your food, though very tasty, cannot prevent or cure COVID-19. The best way to protect yourself against the new coronavirus is to keep at least 1 meter away from others and to wash your hands frequently and thoroughly. Adding peppers to your soup won’t prevent or cure COVID-19. Learn more from the WHO." [92] Interestingly, while the tone of the correction may impact how the target of the correction receives the message and can increase engagement with a message, [93] it is less likely to affect how others seeing the correction perceive its accuracy. [94]

While social correction has the potential to reach a wider audience with correct information, it can also potentially amplify an original post containing misinformation. [95]

Prebunking

Unfortunately, misinformation typically spreads more readily than fact-checking. [13] [96] [34] Further, even if misinformation is corrected, that does not mean it is forgotten or does not influence people's thoughts. [13] Another approach, called prebunking, aims to "inoculate" against misinformation by showing people examples of misinformation and how it works before they encounter it. [97] [98] While prebunking can involve fact-based correction, it focuses more on identifying common logical fallacies (e.g., emotional appeals to manipulate individuals' perceptions and judgments, [99] false dichotomies, or ad hominem fallacies [100] ) and tactics used to spread misinformation as well as common misinformation sources. [97] Research about the efficacy of prebunking has shown promising results. [101]

Other interventions

A report by the Royal Society in the UK lists additional potential or proposed countermeasures: [102]

Broadly described, the report recommends building resilience to scientific misinformation and a healthy online information environment and not having offending content removed. It cautions that censorship could e.g. drive misinformation and associated communities "to harder-to-address corners of the internet". [106]

Online misinformation about climate change can be counteracted through different measures at different stages. [107] Prior to misinformation exposure, education and "inoculation" are proposed. Technological solutions, such as early detection of bots and ranking and selection algorithms are suggested as ongoing mechanisms. Post misinformation, corrective and collaborator messaging can be used to counter climate change misinformation. Incorporating fines and similar consequences has also been suggested.

The International Panel on the Information Environment was launched in 2023 as a consortium of over 250 scientists working to develop effective countermeasures to misinformation and other problems created by perverse incentives in organizations disseminating information via the Internet. [108]

There also is research and development of platform-built-in as well browser-integrated (currently in the form of addons) misinformation mitigation. [109] [110] [111] [112] This includes quality/neutrality/reliability ratings for news sources. Wikipedia's perennial sources page categorizes many large news sources by reliability. [113] Researchers have also demonstrated the feasibility of falsity scores for popular and official figures by developing such for over 800 contemporary elites on Twitter as well as associated exposure scores. [114] [115]

Strategies that may be more effective for lasting correction of false beliefs include focusing on intermediaries (such as convincing activists or politicians who are credible to the people who hold false beliefs, or promoting intermediaries who have the same identities or worldviews as the intended audience), minimizing the association of misinformation with political or group identities (such as providing corrections from nonpartisan experts, or avoiding false balance based on partisanship in news coverage), and emphasizing corrections that are hard for people to avoid or deny (such as providing information that the economy is unusually strong or weak, or describing the increased occurrence of extreme weather events in response to climate change denial). [116]

Limitations

Interventions need to account for the possibility that misinformation can persist in the population even after corrections are published. Possible reasons include difficulty in reaching the right people and corrections not having long-term effects. [116] [83] For example, if corrective information is only published in science-focused publications and fact-checking websites, it may not reach the people who believe in misinformation since they are less likely to read those sources. In addition, successful corrections may not be persistent, particularly if people are re-exposed to misinformation at a later date. [116]

It has been suggested that directly countering misinformation can be counterproductive, which is referred to as a "backfire effect", but in practice this is very rare. [116] [117] [118] [119] A 2020 review of the scientific literature on backfire effects found that there have been widespread failures to replicate their existence, even under conditions that would be theoretically favorable to observing them. [118] Due to the lack of reproducibility, as of 2020 most researchers believe that backfire effects are either unlikely to occur on the broader population level, or they only occur in very specific circumstances, or they do not exist. [118] Brendan Nyhan, one of the researchers who initially proposed the occurrence of backfire effects, wrote in 2021 that the persistence of misinformation is most likely due to other factors. [116] For most people, corrections and fact-checking are very unlikely to have a negative impact, and there is no specific group of people in which backfire effects have been consistently observed. [118] In many cases, when backfire effects have been discussed by the media or by bloggers, they have been overgeneralized from studies on specific subgroups to incorrectly conclude that backfire effects apply to the entire population and to all attempts at correction. [116] [118]

Online misinformation

In recent years, the proliferation of misinformation online has drawn widespread attention. [120] More than half of the world's population had access to the Internet in the beginning of 2018. [120] Digital and social media can contribute to the spread of misinformation – for instance, when users share information without first checking the legitimacy of the information they have found. People are more likely to encounter online information based on personalized algorithms. [86] Google, Facebook and Yahoo News all generate newsfeeds based on the information they know about our devices, our location, and our online interests. [86]

Although two people can search for the same thing at the same time, they are very likely to get different results based on what that platform deems relevant to their interests, fact or false. [86] Various social media platforms have recently been criticized for encouraging the spread of false information, such as hoaxes, false news, and mistruths. [86] It is responsible with influencing people's attitudes and judgment during significant events by disseminating widely believed misinformation. [86] Furthermore, online misinformation can occur in numerous ways, including rumors, urban legends, factoids, etc. [121] However, the underlying factor is that it contains misleading or inaccurate information. [121]

Moreover, users of social media platforms may experience intensely negative feelings, perplexity, and worry as a result of the spread of false information. [121] According to a recent study, one in ten Americans has gone through mental or emotional stress as a result of misleading information posted online. [121] Spreading false information can also seriously impede the effective and efficient use of the information available on social media. [121] An emerging trend in the online information environment is "a shift away from public discourse to private, more ephemeral, messaging", which is a challenge to counter misinformation. [102]

On social media

Pew Research reports shared that approximately one in four American adults admitted to sharing misinformation on their social media platforms. [122]

In the Information Age, social networking sites have become a notable agent for the spread of misinformation, fake news, and propaganda. [123] [78] [124] [125] [126] Social media sites have changed their algorithms to prevent the spread of fake news but the problem still exists. [127]

Image posts are the biggest spread of misinformation on social media, a fact which is grossly unrepresented in research. This leads to a "yawning gap of knowledge" as there is a collective ignorance on how harmful image-based posts are compared to other types of misinformation. [128]

Spread

Social media platforms allow for easy spread of misinformation. [127] The specific reasons why misinformation spreads through social media so easily remain unknown. [129]

Agent-based models and other computational models have been used by researchers to explain how false beliefs spread through networks. Epistemic network analysis is one example of a computational method for evaluating connections in data shared in a social media network or similar network. [130]

Researchers fear that misinformation in social media is "becoming unstoppable." [127] It has also been observed that misinformation and disinformation reappear on social media sites.[ citation needed ]

Misinformation spread by bots has been difficult for social media platforms to address. [131] Sites such as Facebook have algorithms that have been proven to further the spread of misinformation in which how content is spread among subgroups. [132]

Social causes and echo chambers

Spontaneous spread of misinformation on social media usually occurs from users sharing posts from friends or mutually-followed pages. [133] These posts are often shared from someone the sharer believes they can trust. [133] Misinformation introduced through a social format influences individuals drastically more than misinformation delivered non-socially. [134]

People are inclined to follow or support like-minded individuals, creating echo chambers and filter bubbles. [135] Untruths or general agreement within isolated social clusters are difficult to counter. [135] Some argue this causes an absence of a collective reality. [135] Research has also shown that viral misinformation may spread more widely as a result of echo chambers, as the echo chambers provide an initial seed which can fuel broader viral diffusion. [136]

Misinformation might be created and spread with malicious intent for reasons such as causing anxiety or deceiving audiences. [133] Rumors created with or without malicious intent may be unknowingly shared by users.[ citation needed ] People may know what the scientific community has proved as a fact, and still refuse to accept it as such. [137]

Lack of regulation

Misinformation on social media spreads quickly in comparison to traditional media because of the lack of regulation and examination required before posting. [129] [138]

Social media sites provide users with the capability to spread information quickly to other users without requiring the permission of a gatekeeper such as an editor, who might otherwise require confirmation of the truth before allowing publication. [139] [140]

The problem of misinformation in social media is getting worse as younger generations prefer social media over journalistic for their source of information. [141]

Countermeasures

Combating the spread of misinformation on social medias is difficult for reasons such as :

  • the profusion of misinformation sources makes the reader's task of weighing the reliability of information more challenging [142]
  • social media's propensity for culture wars embeds misinformation with identity-based conflict [14]
  • the proliferation of echo chambers form an epistemic environment in which participants encounter beliefs and opinions that coincide with their own, [143] moving the entire group toward more extreme positions. [143] [14]

With the large audiences that can be reached and the experts on various subjects on social media, some believe social media could also be the key to correcting misinformation. [144]

Journalists today are criticized for helping to spread false information on these social platforms, but research shows they also play a role in curbing it through debunking and denying false rumors. [139] [140]

COVID-19 misinformation

During the COVID-19 Pandemic, social media was used as one of the main propagators for spreading misinformation about symptoms, treatments, and long-term health-related problems. [5] This problem has initialized a significant effort in developing automated detection methods for misinformation on social media platforms. [8]

The creator of the Stop Mandatory Vaccination made money posting anti-vax false news on social media. He posted more than 150 posts aimed towards women, garnering a total of 1.6 million views and earning money for every click and share. [145]

Misinformation on TikTok

A research report by NewsGuard found there is a very high level (~20% in their probes of videos about relevant topics) of online misinformation delivered – to a mainly young user base – with TikTok, whose (essentially unregulated) usage is increasing as of 2022. [146] [147]

Misinformation on Facebook

A research study of Facebook found that misinformation was more likely to be clicked on than factual information. [148] The most common reasons that Facebook users were sharing misinformation for socially-motivated reasons, rather than taking the information seriously. [149]

Facebook's coverage of misinformation has become a hot topic with the spread of COVID-19, as some reports indicated Facebook recommended pages containing health misinformation. [150] For example, this can be seen when a user likes an anti-vax Facebook page. Automatically, more and more anti-vax pages are recommended to the user. [150] Additionally, some reference Facebook's inconsistent censorship of misinformation leading to deaths from COVID-19. [150]

Facebook estimated the existence of up to 60 million troll bots actively spreading misinformation on their platform, [151] and has taken measures to stop the spread of misinformation, resulting in a decrease, though misinformation continues to exist on the platform. [127] On Facebook, adults older than 65 were seven times more likely to share fake news than adults ages 18–29. [152]

Misinformation on Twitter

Twitter is one of the most concentrated platforms for engagement with political fake news. 80% of fake news sources are shared by 0.1% of users, who are "super-sharers". Older, more conservative social users are also more likely to interact with fake news. [149] Another source of misinformation on Twitter are bot accounts, especially surrounding climate change. [153] Bot accounts on Twitter accelerate true and fake news at the same rate. [154] A 2018 study of Twitter determined that, compared to accurate information, false information spread significantly faster, further, deeper, and more broadly. [152] A research study watched the process of thirteen rumors appearing on Twitter and noticed that eleven of those same stories resurfaced multiple times, after time had passed. [155]

A social media app called Parler has caused much chaos as well. Right winged Twitter users who were banned on the app moved to Parler after the January 6 United States Capitol attack, and the app was being used to plan and facilitate more illegal and dangerous activities. Google and Apple later pulled the app off their respective app stores. This app has been able to cause a lot of misinformation and bias in the media, allowing for more political mishaps. [156]

Misinformation on YouTube

This section is an excerpt from Social impact of YouTube § False scientific content.[ edit ]

Anti-intellectual beliefs flourish on YouTube. One well-publicized example is the network of content creators supporting the view that the Earth is flat, not a sphere. [157] [158] Researchers found that the YouTubers publishing "Flat Earth" content aim to polarize their audiences through arguments that build upon an anti-scientific narrative. [158]

A study published in July 2019 concluded that most climate change-related videos support worldviews that are opposed to the scientific consensus on climate change. [159] Though YouTube claimed in December 2019 that new recommendation policies reduced "borderline" recommendations by 70%, a January 2020 Avaaz study found that, for videos retrieved by the search terms "climate change", "global warming", and "climate manipulation", YouTube's "up next" sidebar presented videos containing information contradicting the scientific consensus 8%, 16% and 21% of the time, respectively. [160] Avaaz argued that this "misinformation rabbit hole" means YouTube helps to spread climate denialism, and profits from it. [160]

In November 2020, YouTube issued a one-week suspension of the account of One America News Network and permanently de-monetized its videos because of OANN's repeated violations of YouTube's policy prohibiting videos claiming sham cures for COVID-19. [161] Without evidence, OANN also cast doubt on the validity of the 2020 U.S. presidential election. [161]

On August 1, 2021, YouTube barred Sky News Australia from uploading new content for a week for breaking YouTube's rules on spreading COVID-19 misinformation. [162] In September 2021, more than a year after YouTube said it would take down misinformation about the coronavirus vaccines, the accounts of six out of twelve anti-vaccine activists identified by the nonprofit Center for Countering Digital Hate were still searchable and still posting videos. [163]

In October 2021, YouTube's owner Google announced it would no longer permit YouTube creators to earn advertising money for content that "contradicts well-established scientific consensus around the existence and causes of climate change", and that it will not allow ads that promote such views. [164] In spite of this policy, many videos that included misinformation about climate change were not de-monetized. [165] Earlier, climate change deniers' online YouTube content focused on denying global warming, or saying such warming isn't caused by humans burning fossil fuel. [166] As such denials became untenable, using new tactics that evade YouTube's policies to combat misinformation, content shifted to asserting that climate solutions are not workable, saying global warming is harmless or even beneficial, and accusing the environmental movement of being unreliable. [166]

Lack of peer review

Promoting more Peer Review to benefit the accuracy in information In Peer Review We Trust.jpg
Promoting more Peer Review to benefit the accuracy in information

Due to the decentralized nature and structure of the Internet, content creators can easily publish content without being required to undergo peer review, prove their qualifications, or provide backup documentation. While library books have generally been reviewed and edited by an editor, publishing company, etc., Internet sources cannot be assumed to be vetted by anyone other than their authors. Misinformation may be produced, reproduced, and posted immediately on most online platforms. [167] [168]

Censorship accusations

Social media sites such as Facebook and Twitter have found themselves defending accusations of censorship for removing posts they have deemed to be misinformation. Social media censorship policies relying on government agency-issued guidance to determine information validity have garnered criticism that such policies have the unintended effect of stifling dissent and criticism of government positions and policies. [169] Most recently, social media companies have faced criticism over allegedly prematurely censoring the discussion of the SARS-CoV 2 Lab Leak Hypothesis. [169] [170]

Other accusations of censorship appear to stem from attempts to prevent social media consumers from self-harm through the use of unproven COVID-19 treatments. For example, in July 2020, a video went viral showing Dr. Stella Immanuel claiming hydroxychloroquine was an effective cure for COVID-19. In the video, Immanuel suggested that there was no need for masks, school closures, or any kind of economic shut down; attesting that her alleged cure was highly effective in treating those infected with the virus. The video was shared 600,000 times and received nearly 20 million views on Facebook before it was taken down for violating community guidelines on spreading misinformation. [171] The video was also taken down on Twitter overnight, but not before former president Donald Trump shared it to his page, which was followed by over 85 million Twitter users. NIAID director Dr. Anthony Fauci and members of the World Health Organization (WHO) quickly discredited the video, citing larger-scale studies of hydroxychloroquine showing it is not an effective treatment of COVID-19, and the FDA cautioned against using it to treat COVID-19 patients following evidence of serious heart problems arising in patients who have taken the drug. [172]

Another prominent example of misinformation removal criticized by some as an example of censorship was the New York Post's report on the Hunter Biden laptops approximately two weeks before the 2020 presidential election, which was used to promote the Biden–Ukraine conspiracy theory. Social media companies quickly removed this report, and the Post's Twitter account was temporarily suspended. Over 50 intelligence officials found the disclosure of emails allegedly belonging to Joe Biden's son had all the "classic earmarks of a Russian information operation". [173] Later evidence emerged that at least some of the laptop's contents were authentic. [174]

Noteworthy examples

An example of bad information from media sources that led to the spread of misinformation occurred in November 2005, when Chris Hansen on Dateline NBC claimed that law enforcement officials estimate 50,000 predators are online at any moment. Afterward, the U.S. attorney general at the time, Alberto Gonzales, repeated the claim. However, the number that Hansen used in his reporting had no backing. Hansen said he received the information from Dateline expert Ken Lanning, but Lanning admitted that he made up the number 50,000 because there was no solid data on the number. According to Lanning, he used 50,000 because it sounds like a real number, not too big and not too small, and referred to it as a "Goldilocks number". Reporter Carl Bialik says that the number 50,000 is used often in the media to estimate numbers when reporters are unsure of the exact data. [175]

During the COVID-19 pandemic, a conspiracy theory that COVID-19 was linked to the 5G network gained significant traction worldwide after emerging on social media. [176]

Misinformation was a major talking point during the 2016 U.S. presidential election with claims of social media sites allowing "fake news" to be spread. [177]

Impact

The Liar's Dividend describes a situation in which individuals are so concerned about realistic misinformation (in particular, deepfakes) that they begin to mistrust real content, particularly if someone claims that it is false. [178] For instance, a politician could benefit from claiming that a real video of them doing something embarrassing was actually AI-generated or altered, leading followers to mistrust something that was actually real. On a larger scale this problem can lead to erosion in the public's trust of generally reliable information sources. [178]

Misinformation can affect all aspects of life. Allcott, Gentzkow, and Yu concur that the diffusion of misinformation through social media is a potential threat to democracy and broader society. The effects of misinformation can lead to decline of accuracy of information as well as event details. [179] When eavesdropping on conversations, one can gather facts that may not always be true, or the receiver may hear the message incorrectly and spread the information to others. On the Internet, one can read content that is stated to be factual but that may not have been checked or may be erroneous. In the news, companies may emphasize the speed at which they receive and send information but may not always be correct in the facts. These developments contribute to the way misinformation may continue to complicate the public's understanding of issues and to serve as a source for belief and attitude formation. [180]

In regards to politics, some view being a misinformed citizen as worse than being an uninformed citizen. Misinformed citizens can state their beliefs and opinions with confidence and thus affect elections and policies. This type of misinformation occurs when a speaker appears "authoritative and legitimate", while also spreading misinformation. [123] When information is presented as vague, ambiguous, sarcastic, or partial, receivers are forced to piece the information together and make assumptions about what is correct. [181] Misinformation has the power to sway public elections and referendums if it gains enough momentum. Leading up to the 2016 UK European Union membership referendum, for example, a figure used prominently by the Vote Leave campaign claimed that by leaving the EU the UK would save £350 million a week, 'for the NHS'. Claims then circulated widely in the campaign that this amount would (rather than could theoretically) be redistributed to the British National Health Service after Brexit. This was later deemed a "clear misuse of official statistics" by the UK statistics authority.

Moreover, the advert infamously shown on the side of London's double-decker busses did not take into account the UK's budget rebate, and the idea that 100% of the money saved would go to the NHS was unrealistic. A poll published in 2016 by Ipsos MORI found that nearly half of the British public believed this misinformation to be true. [182] Even when information is proven to be misinformation, it may continue to shape attitudes towards a given topic, [183] meaning it has the power to swing political decisions if it gains enough traction. A study conducted by Soroush Vosoughi, Deb Roy and Sinan Aral looked at Twitter data including 126,000 posts spread by 3 million people over 4.5 million times. They found that political news traveled faster than any other type of information. They found that false news about politics reached more than 20,000 people three times faster than all other types of false news. [184]

Aside from political propaganda, misinformation can also be employed in industrial propaganda. Using tools such as advertising, a company can undermine reliable evidence or influence belief through a concerted misinformation campaign. For instance, tobacco companies employed misinformation in the second half of the twentieth century to diminish the reliability of studies that demonstrated the link between smoking and lung cancer. [185]

In the medical field, misinformation can immediately lead to life endangerment as seen in the case of the public's negative perception towards vaccines or the use of herbs instead of medicines to treat diseases. [123] [186] In regards to the COVID-19 pandemic, the spread of misinformation has proven to cause confusion as well as negative emotions such as anxiety and fear. [187] [188] Misinformation regarding proper safety measures for the prevention of the virus that go against information from legitimate institutions like the World Health Organization can also lead to inadequate protection and possibly place individuals at risk for exposure. [187] [189]

Some scholars and activists are heading movements to eliminate the mis/disinformation and information pollution in the digital world. One theory, "information environmentalism," has become a curriculum in some universities and colleges. [190] [191] The general study of misinformation and disinformation is by now also common across various academic disciplines, including sociology, communication, computer science, and political science, leading to the emerging field being described loosely as "Misinformation and Disinformation Studies". [192] However, various scholars and journalists have criticised this development, pointing to problematic normative assumptions, a varying quality of output and lack of methodological rigor, as well as a too strong impact of mis- and disinformation research in shaping public opinion and policymaking. [193] [194] Summarising the most frequent points of critique, communication scholars Chico Camargo and Felix Simon wrote in an article for the Harvard Kennedy School Misinformation Review that "mis-/disinformation studies has been accused of lacking clear definitions, having a simplified understanding of what it studies, a too great emphasis on media effects, a neglect of intersectional factors, an outsized influence of funding bodies and policymakers on the research agenda of the field, and an outsized impact of the field on policy and policymaking." [195]

AI contribution to the problem and aid in combatting

Artificial intelligence exacerbates the problem of misinformation but also contributes to the fight against misinformation.

AI's contribution to the problem

AI as a tool to combat misinformation

See also

Related Research Articles

Disinformation is false information deliberately spread to deceive people. Disinformation is an orchestrated adversarial activity in which actors employ strategic deceptions and media manipulation tactics to advance political, military, or commercial goals. Disinformation is implemented through attacks that "weaponize multiple rhetorical strategies and forms of knowing—including not only falsehoods but also truths, half-truths, and value judgements—to exploit and amplify culture wars and other identity-driven controversies."

Fact-checking is the process of verifying the factual accuracy of questioned reporting and statements. Fact-checking can be conducted before or after the text or content is published or otherwise disseminated. Internal fact-checking is such checking done in-house by the publisher to prevent inaccurate content from being published; when the text is analyzed by a third party, the process is called external fact-checking.

The Center for Countering Digital Hate (CCDH), formerly Brixton Endeavors, is a British-American not-for-profit NGO company with offices in London and Washington, D.C. with the stated purpose of stopping the spread of online hate speech and disinformation. It campaigns to deplatform people that it believes promote hate or misinformation, and campaigns to restrict media organisations such as The Daily Wire from advertising. CCDH is a member of the Stop Hate For Profit coalition.

The gateway belief model (GBM) suggests that public perception of the degree of expert or scientific consensus on an issue functions as a so-called "gateway" cognition. Perception of scientific agreement is suggested to be a key step towards acceptance of related beliefs. Increasing the perception that there is normative agreement within the scientific community can increase individual support for an issue. A perception of disagreement may decrease support for an issue.

Brandolini's law, also known as the bullshit asymmetry principle, is an internet adage coined in 2013 by Alberto Brandolini, an Italian programmer, that emphasizes the effort of debunking misinformation, in comparison to the relative ease of creating it in the first place. The law states:

The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.

<span class="mw-page-title-main">Fake news</span> False or misleading information presented as real

Fake news or information disorder is false or misleading information claiming the aesthetics and legitimacy of news. Fake news often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue. Although false news has always been spread throughout history, the term fake news was first used in the 1890s when sensational reports in newspapers were common. Nevertheless, the term does not have a fixed definition and has been applied broadly to any type of false information presented as news. It has also been used by high-profile people to apply to any news unfavorable to them. Further, disinformation involves spreading false information with harmful intent and is sometimes generated and propagated by hostile foreign actors, particularly during elections. In some definitions, fake news includes satirical articles misinterpreted as genuine, and articles that employ sensationalist or clickbait headlines that are not supported in the text. Because of this diversity of types of false news, researchers are beginning to favour information disorder as a more neutral and informative term.

<span class="mw-page-title-main">Sander van der Linden</span> Social psychologist

Sander L. van der Linden is a Dutch social psychologist and author who is Professor of Social Psychology at the University of Cambridge. He studies the psychology of social influence, risk, human judgment, and decision-making. He is particularly known for his research on the psychology of social issues, such as fake news, COVID-19, and climate change.

<span class="mw-page-title-main">Media Bias/Fact Check</span> American website

Media Bias/Fact Check (MBFC) is an American website founded in 2015 by Dave M. Van Zandt. It considers four main categories and multiple subcategories in assessing the "political bias" and "factual reporting" of media outlets, relying on a self-described "combination of objective measures and subjective analysis".

Fake news and similar false information is fostered and spread across India through word of mouth, traditional media and more recently through digital forms of communication such as edited videos, websites, blogs, memes, unverified advertisements and social media propagated rumours. Fake news spread through social media in the country has become a serious problem, with the potential of it resulting in mob violence, as was the case where at least 20 people were killed in 2018 as a result of misinformation circulated on social media.

<span class="mw-page-title-main">COVID-19 misinformation</span> False or misleading virus information

False information, including intentional disinformation and conspiracy theories, about the scale of the COVID-19 pandemic and the origin, prevention, diagnosis, and treatment of the disease has been spread through social media, text messaging, and mass media. False information has been propagated by celebrities, politicians, and other prominent public figures. Many countries have passed laws against "fake news", and thousands of people have been arrested for spreading COVID-19 misinformation. The spread of COVID-19 misinformation by governments has also been significant.

<span class="mw-page-title-main">Media coverage of the COVID-19 pandemic</span> Aspect of viral outbreak

Media coverage of the COVID-19 pandemic has varied by country, time period and media outlet. News media has simultaneously kept viewers informed about current events related to the pandemic, and contributed to misinformation or fake news.

<span class="mw-page-title-main">Impact of the COVID-19 pandemic on social media</span>

Social media became an important platform for interaction during the COVID-19 pandemic, coinciding with the onset of social distancing. According to a study conducted by Facebook's analytics department, messaging rates rose by over 50% during this period. Individuals confined to their homes utilized social media not only to maintain social connections but also as a source of entertainment to alleviate boredom. Concerns arose regarding the overreliance on social media for primary social interactions, particularly given the constraints imposed by the pandemic.

An infodemic is a rapid and far-reaching spread of both accurate and inaccurate information about certain issues. The word is a portmanteau of information and epidemic and is used as a metaphor to describe how misinformation and disinformation can spread like a virus from person to person and affect people like a disease. This term, originally coined in 2003 by David Rothkopf, rose to prominence in 2020 during the COVID-19 pandemic.

Disinformation attacks are strategic deception campaigns involving media manipulation and internet manipulation, to disseminate misleading information, aiming to confuse, paralyze, and polarize an audience. Disinformation can be considered an attack when it occurs as an adversarial narrative campaign that weaponizes multiple rhetorical strategies and forms of knowing—including not only falsehoods but also truths, half-truths, and value-laden judgements—to exploit and amplify identity-driven controversies. Disinformation attacks use media manipulation to target broadcast media like state-sponsored TV channels and radios. Due to the increasing use of internet manipulation on social media, they can be considered a cyber threat. Digital tools such as bots, algorithms, and AI technology, along with human agents including influencers, spread and amplify disinformation to micro-target populations on online platforms like Instagram, Twitter, Google, Facebook, and YouTube.

Misinformation related to immunization and the use of vaccines circulates in mass media and social media in spite of the fact that there is no serious hesitancy or debate within mainstream medical and scientific circles about the benefits of vaccination. Unsubstantiated safety concerns related to vaccines are often presented on the internet as being scientific information. A large proportion of internet sources on the topic are mostly inaccurate which can lead people searching for information to form misconceptions relating to vaccines.

Algorithmic radicalization is the concept that recommender algorithms on popular social media sites such as YouTube and Facebook drive users toward progressively more extreme content over time, leading to them developing radicalized extremist political views. Algorithms record user interactions, from likes/dislikes to amount of time spent on posts, to generate endless media aimed to keep users engaged. Through echo chamber channels, the consumer is driven to be more polarized through preferences in media and self-confirmation.

This timeline includes entries on the spread of COVID-19 misinformation and conspiracy theories related to the COVID-19 pandemic in Canada. This includes investigations into the origin of COVID-19, and the prevention and treatment of COVID-19 which is caused by the virus SARS-CoV-2. Social media apps and platforms, including Facebook, TikTok, Telegram, and YouTube, have contributed to the spread of misinformation. The Canadian Anti-Hate Network (CAHN) reported that conspiracy theories related to COVID-19 began on "day one". CAHN reported on March 16, 2020, that far-right groups in Canada were taking advantage of the climate of anxiety and fear surrounding COVID, to recycle variations of conspiracies from the 1990s, that people had shared over shortwave radio. COVID-19 disinformation is intentional and seeks to create uncertainty and confusion. But most of the misinformation is shared online unintentionally by enthusiastic participants who are politically active.

<span class="mw-page-title-main">Disclose.tv</span> German disinformation outlet

Disclose.tv is a disinformation outlet based in Germany that presents itself as a news aggregator. It is known for promoting conspiracy theories and fake news, including COVID-19 misinformation and anti-vaccine narratives.

<span class="mw-page-title-main">Anti-vaccine activism</span> Activism against vaccination

Anti-vaccine activism, which collectively constitutes the "anti-vax" movement, is a set of organized activities proclaiming opposition to vaccination, and these collaborating networks have often fought to increase vaccine hesitancy by disseminating vaccine-based misinformation and/or forms of active disinformation. As a social movement, it has utilized multiple tools both within traditional news media and also through various forms of online communication. Activists have primarily focused on issues surrounding children, with vaccination of the young receiving pushback, and they have sought to expand beyond niche subgroups into national political debates.

References

  1. ↑ Henley, Jon (10 June 2016). "Why Vote Leave's £350m weekly EU cost claim is wrong". The Guardian. Retrieved 14 October 2024.
  2. ↑ "The UK's EU membership fee". Full Fact. Retrieved 14 October 2024.
  3. ↑ "Reality Check: Would Brexit mean extra £350m a week for NHS?". BBC News. 15 April 2016.
  4. ↑ Ackrill, Robert (27 April 2016). "Fact Check: how much does the UK actually pay to the EU?". The Conversation.
  5. 1 2 Merriam-Webster Dictionary (19 August 2020). "Misinformation". Archived from the original on 25 February 2019. Retrieved 19 August 2020.
  6. ↑ Fetzer, James H. (2004-05-01). "Information: Does it Have To Be True?". Minds and Machines. 14 (2): 223–229. doi:10.1023/B:MIND.0000021682.61365.56. ISSN   1572-8641. S2CID   31906034.
  7. ↑ Woolley, Samuel C.; Howard, Philip N. (2016). "Political Communication, Computational Propaganda, and Autonomous Agents". International Journal of Communication . 10: 4882–4890. Archived from the original on 2019-10-22. Retrieved 2019-10-22.
  8. 1 2 Caramancion, Kevin Matthe (2020). "An Exploration of Disinformation as a Cybersecurity Threat". 2020 3rd International Conference on Information and Computer Technologies (ICICT). pp. 440–444. doi:10.1109/icict50521.2020.00076. ISBN   978-1-7281-7283-5. S2CID   218651389.
  9. ↑ Fisher, Natascha A. Karlova, Karen E. (2013-03-15). "A social diffusion model of misinformation and disinformation for understanding human information behaviour". informationr.net. Archived from the original on 2023-05-11. Retrieved 2023-05-11.{{cite web}}: CS1 maint: multiple names: authors list (link)
  10. 1 2 3 Fallis, Don (2015). "What Is Disinformation?". Library Trends. 63 (3): 401–426. doi:10.1353/lib.2015.0014. hdl: 2142/89818 . ISSN   1559-0682. S2CID   13178809.
  11. ↑ Diaz Ruiz, Carlos (2023-10-30). "Disinformation on digital media platforms: A market-shaping approach". New Media & Society. doi: 10.1177/14614448231207644 . ISSN   1461-4448.
  12. ↑ The Global Risks Report 2024, World Economic Forum. ISBN   978-2-940631-64-3
  13. 1 2 3 4 Lewandowsky, Stephan; Ecker, Ullrich K. H.; Seifert, Colleen M.; Schwarz, Norbert; Cook, John (2012). "Misinformation and Its Correction: Continued Influence and Successful Debiasing". Psychological Science in the Public Interest . 13 (3): 106–131. doi: 10.1177/1529100612451018 . JSTOR   23484653. PMID   26173286. S2CID   42633.
  14. 1 2 3 Diaz Ruiz, Carlos; Nilsson, Tomas (2022-08-08). "Disinformation and Echo Chambers: How Disinformation Circulates on Social Media Through Identity-Driven Controversies". Journal of Public Policy & Marketing. 42: 18–35. doi: 10.1177/07439156221103852 . ISSN   0743-9156.
  15. 1 2 3 4 5 Ecker, Ullrich K. H.; Lewandowsky, Stephan; Cook, John; Schmid, Philipp; Fazio, Lisa K.; Brashier, Nadia; Kendeou, Panayiota; Vraga, Emily K.; Amazeen, Michelle A. (January 2022). "The psychological drivers of misinformation belief and its resistance to correction". Nature Reviews Psychology. 1 (1): 13–29. doi:10.1038/s44159-021-00006-y. hdl: 1983/889ddb0f-0d44-44f4-a54f-57c260ae4917 . ISSN   2731-0574.
  16. 1 2 Aral 2020.
  17. 1 2 Blum, Dani (March 16, 2024). "Health Misinformation Is Evolving. Here's How to Spot It. - Experts offer tips for combating false medical claims in your own circles". The New York Times . Archived from the original on March 16, 2024. Retrieved March 17, 2024.
  18. ↑ Bode, Leticia; Vraga, Emily (23 June 2015). "In Related News, That was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media". Journal of Communication. 65 (4): 619–638. doi:10.1111/jcom.12166. S2CID   142769329. Archived from the original on 2022-11-12. Retrieved 2024-01-31.
  19. ↑ Posetti, Julie; Matthews, Alice (June 23, 2018). "A Short Guide to the History of 'Fake News' and Disinformation: A New ICFJ Learning Module". International Center for Journalists. Archived from the original on 2019-02-25. Retrieved 2024-01-31.
  20. ↑ Greason, Grace (2018-07-06). "Information Disorder: The Definitional Toolbox". First Draft. Retrieved 2024-04-03.
  21. 1 2 3 Marquez, Natalie. "Research Guides: Misinformation – Get the Facts: What is Misinformation?". guides.lib.uci.edu. Archived from the original on 2023-03-16. Retrieved 2023-03-16.
  22. 1 2 "What is disinformation?". Die Bundesregierung informiert | Startseite (in German). Archived from the original on 2023-03-23. Retrieved 2023-03-16.
  23. ↑ "Foreign Influence Operations and Disinformation | Cybersecurity and Infrastructure Security Agency CISA". www.cisa.gov.
  24. ↑ Hanopol, Nica Rhiana (2021-05-12). "When 'misinformation' strikes, experts say here's what you can do". VERA Files. Retrieved 2024-04-03.
  25. ↑ "Safe to Sleep" . Retrieved April 3, 2024.
  26. ↑ Ecker, Ullrich K.H.; Lewandowsky, Stephan; Cheung, Candy S.C.; Maybery, Murray T. (November 2015). "He did it! She did it! No, she did not! Multiple causal explanations and the continued influence of misinformation" (PDF). Journal of Memory and Language. 85: 101–115. doi:10.1016/j.jml.2015.09.002. Archived (PDF) from the original on 2022-12-07. Retrieved 2022-11-01.
  27. ↑ "Definition of RUMOR". www.merriam-webster.com. May 21, 2023. Archived from the original on February 4, 2022. Retrieved February 4, 2022.
  28. 1 2 Zeng, Jing; Chan, Chung-hong (2021-01-01). "A cross-national diagnosis of infodemics: comparing the topical and temporal features of misinformation around COVID-19 in China, India, the US, Germany and France". Online Information Review. 45 (4): 709–728. doi:10.1108/OIR-09-2020-0417. ISSN   1468-4527. S2CID   234242942. Archived from the original on 2024-02-14. Retrieved 2023-05-11.
  29. ↑ "The True History of Fake News". The New York Review of Books. 2017-02-13. Archived from the original on 2019-02-05. Retrieved 2019-02-24.
  30. ↑ Andrew Pettegree (2015). The Invention of News. Yale University Press. pp. 153–4. ISBN   978-0-300-21276-1.
  31. ↑ "A short guide to the history of 'fake news' and disinformation". International Center for Journalists. Archived from the original on 2019-02-25. Retrieved 2019-02-24.
  32. ↑ Jones, Tim (2020-10-31). "Dewey defeats Truman: The most famous wrong call in electoral history". Chicago Tribune. Retrieved 2024-04-03.
  33. ↑ Allcott, Hunt; Gentzkow, Matthew; Yu, Chuan (April 2019). "Trends in the diffusion of misinformation on social media". Research & Politics. 6 (2): 205316801984855. arXiv: 1809.05901 . doi: 10.1177/2053168019848554 . ISSN   2053-1680. S2CID   52291737.
  34. 1 2 Vosoughi, Soroush; Roy, Deb; Aral, Sinan (2018-03-09). "The spread of true and false news online". Science. 359 (6380): 1146–1151. Bibcode:2018Sci...359.1146V. doi:10.1126/science.aap9559. ISSN   0036-8075. PMID   29590045.
  35. ↑ Godfrey-Smith, Peter (December 1989). "Misinformation". Canadian Journal of Philosophy. 19 (4): 533–550. doi:10.1080/00455091.1989.10716781. ISSN   0045-5091. S2CID   246637810.
  36. ↑ West, Jevin D.; Bergstrom, Carl T. (2021-04-13). "Misinformation in and about science". Proceedings of the National Academy of Sciences. 118 (15): e1912444117. Bibcode:2021PNAS..11812444W. doi: 10.1073/pnas.1912444117 . ISSN   0027-8424. PMC   8054004 . PMID   33837146.
  37. ↑ Fung, Isaac Chun-Hai; Fu, King-Wa; Chan, Chung-Hong; Chan, Benedict Shing Bun; Cheung, Chi-Ngai; Abraham, Thomas; Tse, Zion Tsz Ho (May 2016). "Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors". Public Health Reports. 131 (3): 461–473. doi:10.1177/003335491613100312. ISSN   0033-3549. PMC   4869079 . PMID   27252566.
  38. ↑ Oyeyemi, Sunday Oluwafemi; Gabarron, Elia; Wynn, Rolf (2014-10-14). "Ebola, Twitter, and misinformation: a dangerous combination?". BMJ. 349: g6178. doi: 10.1136/bmj.g6178 . ISSN   1756-1833. PMID   25315514. S2CID   731448. Archived from the original on 2022-11-01. Retrieved 2023-05-11.
  39. ↑ Swire-Thompson, Briony; Lazer, David (2020-04-02). "Public Health and Online Misinformation: Challenges and Recommendations". Annual Review of Public Health. 41 (1): 433–451. doi: 10.1146/annurev-publhealth-040119-094127 . ISSN   0163-7525. PMID   31874069.
  40. ↑ Jerit, Jennifer; Zhao, Yangzi (2020-05-11). "Political Misinformation". Annual Review of Political Science. 23 (1): 77–94. doi: 10.1146/annurev-polisci-050718-032814 . ISSN   1094-2939. S2CID   212733536.
  41. 1 2 3 4 Scheufele, Dietram; Krause, Nicole (April 16, 2019). "Science audiences, misinformation, and fake news". Proceedings of the National Academy of Sciences. 116 (16): 7662–7669. Bibcode:2019PNAS..116.7662S. doi: 10.1073/pnas.1805871115 . PMC   6475373 . PMID   30642953.
  42. ↑ Pennycook, Gordon; Cheyne, James Allan; Seli, Paul; Koehler, Derek J.; Fugelsang, Jonathan A. (2012-06-01). "Analytic cognitive style predicts religious and paranormal belief". Cognition. 123 (3): 335–346. doi:10.1016/j.cognition.2012.03.003. ISSN   0010-0277. PMID   22481051.
  43. ↑ Robson, Samuel G.; Faasse, Kate; Gordon, Eliza-Rose; Jones, Samuel P.; Drew, Manisara; Martire, Kristy A. (2024-10-09). "Lazy or different? A quantitative content analysis of how believers and nonbelievers of misinformation reason". Advances.in/Psychology. 2: e003511. doi:10.56296/aip00027. ISSN   2976-937X.
  44. ↑ Scherer, Laura D.; McPhetres, Jon; Pennycook, Gordon; Kempe, Allison; Allen, Larry A.; Knoepke, Christopher E.; Tate, Channing E.; Matlock, Daniel D. (April 2021). "Who is susceptible to online health misinformation? A test of four psychosocial hypotheses". Health Psychology. 40 (4): 274–284. doi:10.1037/hea0000978. ISSN   1930-7810. PMID   33646806.
  45. ↑ Törnberg, Petter (2018-09-20). Bauch, Chris T. (ed.). "Echo chambers and viral misinformation: Modeling fake news as complex contagion". PLOS ONE. 13 (9): e0203958. Bibcode:2018PLoSO..1303958T. doi: 10.1371/journal.pone.0203958 . ISSN   1932-6203. PMC   6147442 . PMID   30235239.
  46. ↑ "Literature Review: Echo chambers, filter bubbles and polarization" (PDF). Archived (PDF) from the original on 19 January 2022. Retrieved 21 February 2022.
  47. ↑ "Web of Deception: Misinformation on the Internet". The Electronic Library. 20 (6): 521. 1 December 2002. doi:10.1108/el.2002.20.6.521.7.
  48. ↑ "Students Have 'Dismaying' Inability To Tell Fake News From Real, Study Finds". NPR . Retrieved April 4, 2024.
  49. 1 2 Lewandowsky, Stephan; Ecker, Ullrich K. H.; Cook, John (December 2017). "Beyond misinformation: Understanding and coping with the 'post-truth' era" (PDF). Journal of Applied Research in Memory and Cognition. 6 (4): 353–369. doi:10.1016/j.jarmac.2017.07.008. hdl:1983/1b4da4f3-009d-4287-8e45-a0a1d7b688f7. S2CID   149003083. Archived (PDF) from the original on 2023-01-18. Retrieved 2022-11-01.
  50. ↑ Shearer, Elisa; Gottfried, Jeffrey (2017-09-07). "News Use Across Social Media Platforms 2017". Pew Research Center's Journalism Project. Archived from the original on 2021-03-16. Retrieved 2021-03-28.
  51. ↑ "Media Confidence in U.S. Matches 2016 Record Low". Gallup.com. 2023-10-19. Retrieved 2024-05-16.
  52. ↑ Gottfried, Jacob Liedke and Jeffrey (2022-10-27). "U.S. adults under 30 now trust information from social media almost as much as from national news outlets". Pew Research Center. Retrieved 2024-05-16.
  53. ↑ Croteau, David; Hoynes, William; Milan, Stefania. "Media Technology" (PDF). Media Society: Industries, Images, and Audiences. pp. 285–321. Archived (PDF) from the original on January 2, 2013. Retrieved March 21, 2013.
  54. ↑ Sumida, Amy Mitchell, Jeffrey Gottfried, Michael Barthel and Nami (2018-06-18). "Distinguishing Between Factual and Opinion Statements in the News". Pew Research Center. Retrieved 2024-05-16.{{cite web}}: CS1 maint: multiple names: authors list (link)
  55. ↑ "Journalists know news and opinion are separate, but readers often can't tell the difference". Nieman Lab. Retrieved 2024-05-16.
  56. ↑ University, © Stanford; Stanford; California 94305 (2016-11-21). "Stanford researchers find students have trouble judging the credibility of information online". Stanford Graduate School of Education. Retrieved 2024-04-03.{{cite web}}: CS1 maint: numeric names: authors list (link)
  57. ↑ Verma, Nitin; Fleischmann, Kenneth R.; Koltai, Kolina S. (January 2017). "Human values and trust in scientific journals, the mainstream media and fake news". Proceedings of the Association for Information Science and Technology. 54 (1): 426–435. doi:10.1002/pra2.2017.14505401046. S2CID   51958978.
  58. ↑ Sehgal, Vibhor; Peshin, Ankit; Afroz, Sadia; Farid, Hany (2021-04-20), Mutual Hyperlinking Among Misinformation Peddlers, arXiv: 2104.11694
  59. 1 2 Newman, Eryn J.; Garry, Maryanne; Bernstein, Daniel M.; Kantner, Justin; Lindsay, D. Stephen (October 2012). "Nonprobative photographs (or words) inflate truthiness". Psychonomic Bulletin & Review. 19 (5): 969–974. doi:10.3758/s13423-012-0292-0. ISSN   1531-5320. PMID   22869334.
  60. ↑ Sundar, S Shyam; Molina, Maria D; Cho, Eugene (2021-11-12). "Seeing Is Believing: Is Video Modality More Powerful in Spreading Fake News via Online Messaging Apps?". Journal of Computer-Mediated Communication. 26 (6): 301–319. doi: 10.1093/jcmc/zmab010 . ISSN   1083-6101.
  61. ↑ Selvaraj, Senthil; Borkar, Durga S.; Prasad, Vinay (2014-01-17). "Media Coverage of Medical Journals: Do the Best Articles Make the News?". PLOS ONE. 9 (1): e85355. Bibcode:2014PLoSO...985355S. doi: 10.1371/journal.pone.0085355 . ISSN   1932-6203. PMC   3894978 . PMID   24465543.
  62. ↑ "How to spot misleading science reporting – QB3 Berkeley". qb3.berkeley.edu. Retrieved 2024-04-12.
  63. ↑ Freeze, Melanie; Baumgartner, Mary; Bruno, Peter; Gunderson, Jacob R.; Olin, Joshua; Ross, Morgan Quinn; Szafran, Justine (2021-12-01). "Fake Claims of Fake News: Political Misinformation, Warnings, and the Tainted Truth Effect". Political Behavior. 43 (4): 1433–1465. doi: 10.1007/s11109-020-09597-3 . ISSN   1573-6687.
  64. ↑ Healy, Melissa (8 February 2020). "Misinformation about the coronavirus abounds, but correcting it can backfire". Los Angeles Times.
  65. ↑ Mintz, Anne. "The Misinformation Superhighway?". PBS. Archived from the original on 2 April 2013. Retrieved 26 February 2013.
  66. 1 2 Hameleers, Michael; Brosius, Anna (16 February 2022). "You Are Wrong Because I Am Right! The Perceived Causes and Ideological Biases of Misinformation Beliefs". International Journal of Public Opinion Research. 34 (1). doi:10.1093/ijpor/edab028. ISSN   0954-2892.
  67. ↑ Ecker, Ullrich K. H.; Lewandowsky, Stephan; Chadwick, Matthew (2020-04-22). "Can Corrections Spread Misinformation to New Audiences? Testing for the Elusive Familiarity Backfire Effect". Cognitive Research: Principles and Implications. 5 (1): 41. doi:10.31219/osf.io/et4p3. hdl:1983/0d5feec2-5878-4af6-b5c7-fbbd398dd4c4. PMC   7447737 . PMID   32844338. Archived from the original on 2020-06-17. Retrieved 2020-06-17.
  68. ↑ Lewandowsky, Stephan; Ecker, Ullrich K. H.; Seifert, Colleen M.; Schwarz, Norbert; Cook, John (2012). "Misinformation and Its Correction: Continued Influence and Successful Debiasing". Psychological Science in the Public Interest. 13 (3): 106–131. doi: 10.1177/1529100612451018 . JSTOR   23484653. PMID   26173286. S2CID   42633.
  69. ↑ "SIFT (The Four Moves)". Hapgood. 2019-06-19. Retrieved 2024-04-12.
  70. ↑ Cowles, Kelsey; Miller, Rebekah; Suppok, Rachel (2024-01-02). "When Seeing Isn't Believing: Navigating Visual Health Misinformation through Library Instruction". Medical Reference Services Quarterly. 43 (1): 44–58. doi:10.1080/02763869.2024.2290963. ISSN   0276-3869. PMID   38237023.
  71. ↑ Grootendorst, Maarten (2021-03-23). "Misleading Graphs". Maarten Grootendorst. Retrieved 2024-04-12.
  72. ↑ Qian, Sijia; Shen, Cuihua; Zhang, Jingwen (2022-11-04). "Fighting cheapfakes: using a digital media literacy intervention to motivate reverse search of out-of-context visual misinformation". Journal of Computer-Mediated Communication. 28 (1). doi: 10.1093/jcmc/zmac024 . ISSN   1083-6101.
  73. ↑ Groh, Matthew; Epstein, Ziv; Firestone, Chaz; Picard, Rosalind (2022-01-05). "Deepfake detection by human crowds, machines, and machine-informed crowds". Proceedings of the National Academy of Sciences. 119 (1). arXiv: 2105.06496 . Bibcode:2022PNAS..11910013G. doi: 10.1073/pnas.2110013119 . ISSN   0027-8424. PMC   8740705 . PMID   34969837.
  74. ↑ Bond, Shannon. "AI-generated images are everywhere. Here's how to spot them". NPR . Retrieved April 12, 2024.
  75. ↑ Hern, Alex (2024-04-08). "'Time is running out': can a future of undetectable deepfakes be avoided?". The Guardian. ISSN   0261-3077 . Retrieved 2024-04-12.
  76. ↑ Verma, Pranshu. "AI Can Draw Hands Now". The Washington Post .
  77. ↑ Khan, M. Laeeq; Idris, Ika Karlina (2 December 2019). "Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective". Behaviour & Information Technology. 38 (12): 1194–1212. doi:10.1080/0144929x.2019.1578828. S2CID   86681742.
  78. 1 2 Lazer, David M. J.; Baum, Matthew A.; Benkler, Yochai; Berinsky, Adam J.; Greenhill, Kelly M.; Menczer, Filippo; Metzger, Miriam J.; Nyhan, Brendan; Pennycook, Gordon; Rothschild, David; Schudson, Michael; Sloman, Steven A.; Sunstein, Cass R.; Thorson, Emily A.; Watts, Duncan J.; Zittrain, Jonathan L. (2018). "The science of fake news". Science. 359 (6380): 1094–1096. arXiv: 2307.07903 . Bibcode:2018Sci...359.1094L. doi:10.1126/science.aao2998. PMID   29590025. S2CID   4410672.
  79. ↑ Vraga, Emily K.; Bode, Leticia (December 2017). "Leveraging institutions, educators, and networks to correct misinformation: A commentary on Lewandosky, Ecker, and Cook". Journal of Applied Research in Memory and Cognition. 6 (4): 382–388. doi:10.1016/j.jarmac.2017.09.008.
  80. ↑ Caramancion, Kevin Matthe (2020). "Understanding the Impact of Contextual Clues in Misinformation Detection". 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). pp. 1–6. doi:10.1109/IEMTRONICS51293.2020.9216394. ISBN   978-1-7281-9615-2. S2CID   222297695.
  81. ↑ Libicki, Martin (2007). Conquest in Cyberspace: National Security and Information Warfare . New York: Cambridge University Press. pp.  51–55. ISBN   978-0-521-87160-0.
  82. ↑ Walter, Nathan; Tukachinsky, Riva (March 2020). "A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It?". Communication Research. 47 (2): 155–177. doi:10.1177/0093650219854600. S2CID   197731687. Archived from the original on 2022-12-07. Retrieved 2022-11-01.
  83. 1 2 3 Roozenbeek, Jon; Remshard, Miriam; Kyrychenko, Yara (2024-07-27). "Beyond the headlines: On the efficacy and effectiveness of misinformation interventions". Advances.in/Psychology. 2: e24569. doi:10.56296/aip00019. ISSN   2976-937X.
  84. ↑ Tay, Li Qian; Lewandowsky, Stephan; Hurlstone, Mark J.; Kurz, Tim; Ecker, Ullrich K. H. (2023-10-05). "A focus shift in the evaluation of misinformation interventions". Harvard Kennedy School Misinformation Review. 4 (5). doi:10.37016/mr-2020-124. PMC   7616579 . PMID   39301480.
  85. ↑ "Ask FactCheck". www.factcheck.org. Archived from the original on 2016-03-31. Retrieved 2016-03-31.
  86. 1 2 3 4 5 6 7 Fernandez, Miriam; Alani, Harith (2018). "Online Misinformation". Companion of the Web Conference 2018 on the Web Conference 2018 – WWW '18. ACM Press. pp. 595–602. doi:10.1145/3184558.3188730. ISBN   978-1-4503-5640-4. S2CID   13799324.
  87. ↑ "About - Science Feedback". science.feedback.org/. Retrieved 2024-04-12.
  88. ↑ Nott, By Lata (2022-08-03). "Free Speech on Social Media: The Complete Guide". Freedom Forum. Retrieved 2024-04-12.
  89. ↑ Pasquetto, Irene V.; Jahani, Eaman; Atreja, Shubham; Baum, Matthew (2022-04-07). "Social Debunking of Misinformation on WhatsApp: The Case for Strong and In-group Ties". Proceedings of the ACM on Human-Computer Interaction. 6 (CSCW1): 117:1–117:35. doi:10.1145/3512964.
  90. ↑ "How should you talk to friends and relatives who believe conspiracy theories?". 2020-12-21. Retrieved 2024-04-22.
  91. 1 2 Vraga, Emily K.; Bode, Leticia (October 2020). "Correction as a Solution for Health Misinformation on Social Media". American Journal of Public Health. 110 (S3): S278–S280. doi:10.2105/AJPH.2020.305916. ISSN   0090-0036. PMC   7532323 . PMID   33001724.
  92. ↑ "COVID-19 Mythbusters – World Health Organization". www.who.int. Retrieved 2024-04-22.
  93. ↑ MacKay, Melissa; Cimino, Andrea; Yousefinaghani, Samira; McWhirter, Jennifer E.; Dara, Rozita; Papadopoulos, Andrew (2022-06-06). "Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement". International Journal of Environmental Research and Public Health. 19 (11): 6954. doi: 10.3390/ijerph19116954 . ISSN   1660-4601. PMC   9180105 . PMID   35682537.
  94. ↑ Bode, Leticia; Vraga, Emily K.; Tully, Melissa (2020-06-11). "Do the right thing: Tone may not affect correction of misinformation on social media". Harvard Kennedy School Misinformation Review. doi: 10.37016/mr-2020-026 .
  95. ↑ "Health Misinformation — Current Priorities of the U.S. Surgeon General". www.hhs.gov. Retrieved 2024-04-22.
  96. ↑ Smith, Rory (2020-12-18). "The "broadcast" model no longer works in an era of disinformation". First Draft. Retrieved 2024-04-12.
  97. 1 2 Garcia, Laura (2021-06-29). "A guide to prebunking: a promising way to inoculate against misinformation". First Draft. Retrieved 2024-04-12.
  98. ↑ Cook, John; Ellerton, Peter; Kinkead, David (1 February 2018). "Deconstructing climate misinformation to identify reasoning errors". Environmental Research Letters. 13 (2): 024018. Bibcode:2018ERL....13b4018C. doi: 10.1088/1748-9326/aaa49f . S2CID   149353744.
  99. ↑ Traberg, Cecilie; Morton, Thomas; van der Linden, Sander (2024-06-20). "Counteracting socially endorsed misinformation through an emotion-fallacy inoculation". Advances.in/Psychology. 2: e765332. doi:10.56296/aip00017. ISSN   2976-937X.
  100. ↑ Roozenbeek, Jon; van der Linden, Sander; Goldberg, Beth; Rathje, Steve; Lewandowsky, Stephan (2022-08-26). "Psychological inoculation improves resilience against misinformation on social media". Science Advances. 8 (34): eabo6254. Bibcode:2022SciA....8O6254R. doi:10.1126/sciadv.abo6254. ISSN   2375-2548. PMC   9401631 . PMID   36001675.
  101. ↑ Roozenbeek, Jon; van der Linden, Sander (2019-06-25). "Fake news game confers psychological resistance against online misinformation". Palgrave Communications. 5 (1): 1–10. doi: 10.1057/s41599-019-0279-9 . ISSN   2055-1045.
  102. 1 2 The online information environment: Understanding how the internet shapes people's engagement with scientific information (PDF). The Royal Society. January 2022. ISBN   978-1-78252-567-7. Archived (PDF) from the original on 11 February 2022. Retrieved 21 February 2022.
  103. ↑ Yee, Amy. "The country inoculating against disinformation". BBC. Archived from the original on 20 February 2022. Retrieved 21 February 2022.
  104. ↑ Sitrin, Carly (5 January 2023). "New Jersey becomes first state to mandate K-12 students learn information literacy". Politico. Archived from the original on 9 January 2023. Retrieved 9 January 2023.
  105. ↑ Roozenbeek, Jon; van der Linden, Sander; Goldberg, Beth; Rathje, Steve; Lewandowsky, Stephan (26 August 2022). "Psychological inoculation improves resilience against misinformation on social media". Science Advances. 8 (34): eabo6254. Bibcode:2022SciA....8O6254R. doi:10.1126/sciadv.abo6254. ISSN   2375-2548. PMC   9401631 . PMID   36001675.
  106. ↑ "Royal Society cautions against censorship of scientific misinformation online". The Royal Society . Archived from the original on 12 February 2022. Retrieved 12 February 2022.
  107. ↑ Treen, Kathie M. d'I.; Williams, Hywel T. P.; O'Neill, Saffron J. (September 2020). "Online misinformation about climate change". WIREs Climate Change. 11 (5). Bibcode:2020WIRCC..11E.665T. doi: 10.1002/wcc.665 . S2CID   221879878.
  108. ↑ National Academies of Sciences, Engineering, and Medicine (22 June 2023). "Nobel Prize Summit Fuels Initiatives to Combat Misinformation and Disinformation and Build Trust in Science". National Academies of Sciences, Engineering, and Medicine . Wikidata   Q124711722.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  109. ↑ Zewe, Adam. "Empowering social media users to assess content helps fight misinformation". Massachusetts Institute of Technology via techxplore.com. Archived from the original on 18 December 2022. Retrieved 18 December 2022.
  110. ↑ Jahanbakhsh, Farnaz; Zhang, Amy X.; Karger, David R. (11 November 2022). "Leveraging Structured Trusted-Peer Assessments to Combat Misinformation". Proceedings of the ACM on Human-Computer Interaction. 6 (CSCW2): 524:1–524:40. doi: 10.1145/3555637 . hdl: 1721.1/147638 .
  111. ↑ Elliott, Matt. "Fake news spotter: How to enable Microsoft Edge's NewsGuard". CNET. Archived from the original on 9 January 2023. Retrieved 9 January 2023.
  112. ↑ "12 Browser Extensions to Help You Detect and Avoid Fake News". The Trusted Web. 18 March 2021. Archived from the original on 9 January 2023. Retrieved 9 January 2023.
  113. ↑ Darcy, Oliver (24 July 2020). "Wikipedia administrators caution editors about using Fox News as source on 'contentious' claims | CNN Business". CNN. Archived from the original on 20 November 2021. Retrieved 9 January 2023.
  114. ↑ "New MIT Sloan research measures exposure to misinformation from political elites on Twitter". AP NEWS. 29 November 2022. Archived from the original on 18 December 2022. Retrieved 18 December 2022.
  115. ↑ Mosleh, Mohsen; Rand, David G. (21 November 2022). "Measuring exposure to misinformation from political elites on Twitter". Nature Communications. 13 (1): 7144. Bibcode:2022NatCo..13.7144M. doi: 10.1038/s41467-022-34769-6 . ISSN   2041-1723. PMC   9681735 . PMID   36414634.
  116. 1 2 3 4 5 6 Nyhan B (2021). "Why the backfire effect does not explain the durability of political misperceptions". Proc Natl Acad Sci U S A. 118 (15). Bibcode:2021PNAS..11812440N. doi: 10.1073/pnas.1912440117 . PMC   8053951 . PMID   33837144.
  117. ↑ Lazić, Aleksandra; Žeželj, Iris (18 May 2021). "A systematic review of narrative interventions: Lessons for countering anti-vaccination conspiracy theories and misinformation". Public Understanding of Science. 30 (6). SAGE Publications: 644–670. doi:10.1177/09636625211011881. ISSN   0963-6625. PMID   34006153.
  118. 1 2 3 4 5 Swire-Thompson B, DeGutis J, Lazer D (2020). "Searching for the Backfire Effect: Measurement and Design Considerations". J Appl Res Mem Cogn. 9 (3): 286–299. doi:10.1016/j.jarmac.2020.06.006. PMC   7462781 . PMID   32905023.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  119. ↑ Lewandowsky, Stephan; Cook, John; Lombardi, Doug (2020), Debunking Handbook 2020, Databrary, pp. 9–11, doi:10.17910/b7.1182 , retrieved 2021-01-20
  120. 1 2 Acerbi, Alberto (2019-02-12). "Cognitive attraction and online misinformation". Palgrave Communications. 5 (1). doi: 10.1057/s41599-019-0224-y . hdl: 11572/357769 . ISSN   2055-1045. S2CID   257089832.
  121. 1 2 3 4 5 Almaliki, Malik (2019-04-06). "Online Misinformation Spread". Proceedings of the 2019 3rd International Conference on Information System and Data Mining. New York: ACM. pp. 171–178. doi:10.1145/3325917.3325938. ISBN   978-1-4503-6635-9. S2CID   190232270.
  122. ↑ Holcomb, Michael Barthel, Amy Mitchell and Jesse (2016-12-15). "Many Americans Believe Fake News Is Sowing Confusion". Pew Research Center's Journalism Project. Retrieved 2024-04-03.{{cite web}}: CS1 maint: multiple names: authors list (link)
  123. 1 2 3 Stawicki, Stanislaw P.; Firstenberg, Michael S.; Papadimos, Thomas J. (2020). "The Growing Role of Social Media in International Health Security: The Good, the Bad, and the Ugly". Global Health Security. Advanced Sciences and Technologies for Security Applications. pp. 341–357. doi:10.1007/978-3-030-23491-1_14. ISBN   978-3-030-23490-4. S2CID   212995901.
  124. ↑ Vosoughi, Soroush; Roy, Deb; Aral, Sinan (9 March 2018). "The spread of true and false news online" (PDF). Science. 359 (6380): 1146–1151. Bibcode:2018Sci...359.1146V. doi:10.1126/science.aap9559. PMID   29590045. S2CID   4549072. Archived from the original (PDF) on 29 April 2019. Retrieved 21 August 2019.
  125. ↑ Tucker, Joshua A.; Guess, Andrew; Barbera, Pablo; Vaccari, Cristian; Siegel, Alexandra; Sanovich, Sergey; Stukal, Denis; Nyhan, Brendan. "Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature". Hewlett Foundation White Paper. Archived from the original on 2019-03-06. Retrieved 2019-03-05.
  126. ↑ Machado, Caio; Kira, Beatriz; Narayanan, Vidya; Kollanyi, Bence; Howard, Philip (2019). "A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections". Companion Proceedings of the 2019 World Wide Web Conference. pp. 1013–1019. doi:10.1145/3308560.3316738. ISBN   978-1-4503-6675-5. S2CID   153314118.
  127. 1 2 3 4 Allcott, Hunt; Gentzkow, Matthew; Yu, Chuan (April 2019). "Trends in the diffusion of misinformation on social media". Research & Politics. 6 (2): 205316801984855. arXiv: 1809.05901 . doi: 10.1177/2053168019848554 . S2CID   52291737.
  128. ↑ Hindman, Matthew; Davis, Trevor; Yang, Yunkang (2023-06-30). "Visual misinformation is widespread on Facebook – and often undercounted by researchers". The Conversation. Archived from the original on 2024-01-25. Retrieved 2024-01-25.
  129. 1 2 Chen, Xinran; Sin, Sei-Ching Joanna; Theng, Yin-Leng; Lee, Chei Sian (September 2015). "Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-level Differences". The Journal of Academic Librarianship. 41 (5): 583–592. doi:10.1016/j.acalib.2015.07.003. S2CID   141523357.
  130. ↑ Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. (2016). "A tutorial on epistemic network analysis: Analysing the structural connections in cognitive, social and interaction data". Journal of Learning Analytics. 3 (3): 9–45. doi: 10.18608/jla.2016.33.3 . ERIC   EJ1126800.
  131. ↑ Milman, Oliver (2020-02-21). "Revealed: quarter of all tweets about climate crisis produced by bots". The Guardian. Archived from the original on 2020-02-22. Retrieved 2020-02-23.
  132. ↑ "Facebook's Design Makes It Unable to Control Misinformation | GW Today | The George Washington University". GW Today. Retrieved 2024-03-04.
  133. 1 2 3 Thai, My T.; Wu, Weili; Xiong, Hui (2016-12-01). Big Data in Complex and Social Networks. CRC Press. ISBN   978-1-315-39669-9.
  134. ↑ Gabbert, Fiona; Memon, Amina; Allan, Kevin; Wright, Daniel B. (September 2004). "Say it to my face: Examining the effects of socially encountered misinformation". Legal and Criminological Psychology. 9 (2): 215–227. doi:10.1348/1355325041719428. S2CID   144823646.
  135. 1 2 3 Benkler, Y. (2017). "Study: Breitbart-led rightwing media ecosystem altered broader media agenda". Archived from the original on 4 June 2018. Retrieved 8 June 2018.
  136. ↑ Törnberg, P. (2018). "Echo chambers and viral misinformation: Modeling fake news as complex contagion". PLOS ONE. 13 (9): e0203958. Bibcode:2018PLoSO..1303958T. doi: 10.1371/journal.pone.0203958 . PMC   6147442 . PMID   30235239.
  137. ↑ Scheufele, Dietram A.; Krause, Nicole M. (16 April 2019). "Science audiences, misinformation, and fake news". Proceedings of the National Academy of Sciences. 116 (16): 7662–7669. Bibcode:2019PNAS..116.7662S. doi: 10.1073/pnas.1805871115 . PMC   6475373 . PMID   30642953.
  138. ↑ Caramancion, Kevin Matthe (2021). "The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis". Computational Data and Social Networks. Lecture Notes in Computer Science. Vol. 13116. pp. 319–329. doi:10.1007/978-3-030-91434-9_28. ISBN   978-3-030-91433-2. S2CID   244890285.
  139. 1 2 Starbird, Kate; Dailey, Dharma; Mohamed, Owla; Lee, Gina; Spiro, Emma S. (19 April 2018). "Engage Early, Correct More: How Journalists Participate in False Rumors Online during Crisis Events". Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. pp. 1–12. doi:10.1145/3173574.3173679. ISBN   978-1-4503-5620-6. S2CID   5046314.
  140. 1 2 Arif, Ahmer; Robinson, John J.; Stanek, Stephanie A.; Fichet, Elodie S.; Townsend, Paul; Worku, Zena; Starbird, Kate (2017). "A Closer Look at the Self-Correcting Crowd". Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. pp. 155–168. doi:10.1145/2998181.2998294. ISBN   978-1-4503-4335-0. S2CID   15167363.
  141. ↑ Spradling, Matthew; Straub, Jeremy; Strong, Jay (June 2021). "Protection from 'Fake News': The Need for Descriptive Factual Labeling for Online Content". Future Internet. 13 (6): 142. doi: 10.3390/fi13060142 . ISSN   1999-5903.
  142. ↑ Messerole, Chris (2018-05-09). "How misinformation spreads on social media – And what to do about it". Brookings Institution. Archived from the original on 25 February 2019. Retrieved 24 February 2019.
  143. 1 2 Nguyen, C. Thi (2020). "Echo Chambers and Epistemic Bubbles". Episteme. 17 (2): 141–161. doi:10.1017/epi.2018.32. ISSN   1742-3600. S2CID   171520109. Archived from the original on 2022-02-09. Retrieved 2022-11-25.
  144. ↑ Bode, Leticia; Vraga, Emily K. (2 September 2018). "See Something, Say Something: Correction of Global Health Misinformation on Social Media". Health Communication. 33 (9): 1131–1140. doi:10.1080/10410236.2017.1331312. PMID   28622038. S2CID   205698884.
  145. ↑ Aral 2020, p. 43.
  146. ↑ Tucker, Emma (18 September 2022). "TikTok's search engine repeatedly delivers misinformation to its majority-young user base, report says | CNN Business". CNN. Archived from the original on 19 October 2022. Retrieved 19 October 2022.
  147. ↑ "Misinformation Monitor: September 2022". NewsGuard. Archived from the original on 18 October 2022. Retrieved 19 October 2022.
  148. ↑ Dwoskin, Elizabeth. "Misinformation on Facebook got six times more clicks than factual news during the 2020 election, study says". The Washington Post. Archived from the original on 2021-10-21. Retrieved 2021-10-22.
  149. 1 2 Chen, Xinran; Sin, Sei-Ching Joanna; Theng, Yin-Leng; Lee, Chei Sian (2015). "Why do Social Media Users Share Misinformation?". Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 111–114. doi:10.1145/2756406.2756941. ISBN   978-1-4503-3594-2. S2CID   15983217.
  150. 1 2 3 Griffith, Chris (21 July 2021). "Facebook exposed over its handling of COVID misinformation". The Australian. Canberra. ProQuest   2553642687.
  151. ↑ Iyengar, Shanto; Massey, Douglas S. (16 April 2019). "Scientific communication in a post-truth society". Proceedings of the National Academy of Sciences. 116 (16): 7656–7661. Bibcode:2019PNAS..116.7656I. doi: 10.1073/pnas.1805868115 . PMC   6475392 . PMID   30478050.
  152. 1 2 Swire-Thompson, Briony; Lazer, David (2 April 2020). "Public Health and Online Misinformation: Challenges and Recommendations". Annual Review of Public Health. 41 (1): 433–451. doi: 10.1146/annurev-publhealth-040119-094127 . PMID   31874069.
  153. ↑ "Revealed: a quarter of all tweets about climate crisis produced by bots". The Guardian. 2020-02-21. Archived from the original on 2021-04-29. Retrieved 2021-04-20.
  154. ↑ Vosoughi, Soroush; Roy, Deb; Aral, Sinan (2018-03-09). "The spread of true and false news online". Science. 359 (6380): 1146–1151. Bibcode:2018Sci...359.1146V. doi: 10.1126/science.aap9559 . ISSN   0036-8075. PMID   29590045. S2CID   4549072.
  155. ↑ Shin, Jieun; Jian, Lian; Driscoll, Kevin; Bar, François (June 2018). "The diffusion of misinformation on social media: Temporal pattern, message, and source". Computers in Human Behavior. 83: 278–287. doi:10.1016/j.chb.2018.02.008. S2CID   41956979.
  156. ↑ "Amazon to suspend Parler after deadly Capitol Hill riot". Al Jazeera. 10 January 2021. Archived from the original on 7 March 2022. Retrieved 7 March 2022.
  157. ↑ Landrum, Asheley R.; Olshansky, Alex (2019). "The role of conspiracy mentality in denial of science and susceptibility to viral deception about science". Politics and the Life Sciences. 38 (2): 193–209. doi: 10.1017/pls.2019.9 . ISSN   0730-9384. PMID   32412208.
  158. 1 2 Diaz Ruiz, Carlos; Nilsson, Tomas (2023). "Disinformation and Echo Chambers: How Disinformation Circulates on Social Media Through Identity-Driven Controversies". Journal of Public Policy & Marketing. 42 (1): 18–35. doi:10.1177/07439156221103852. ISSN   0743-9156.
  159. ↑ Allgaier, Joachim (July 25, 2019). "Science and Environmental Communication on YouTube: Strategically Distorted Communications in Online Videos on Climate Change and Climate Engineering". Front. Commun. 4 (4): 36. doi: 10.3389/fcomm.2019.00036 .
  160. 1 2 Nugent, Ciara (January 16, 2020). "YouTube Has Been 'Actively Promoting' Videos Spreading Climate Denialism, According to New Report". Time. Archived from the original on January 31, 2020.
  161. 1 2 Paul, Kari (24 November 2020). "OANN suspended from YouTube after promoting a sham cure for Covid-19". The Guardian. Archived from the original on 25 November 2020. YouTube's Covid-specific misinformation policies prohibit content that disputes the existence of the virus, discourages someone from seeking medical treatment for Covid, disputes guidance from local health authorities on the pandemic, or offers unsubstantiated medical advice or treatment.
  162. ↑ "Sky News Australia barred for week by YouTube over Covid misinformation". BBC News. 2021-08-01. Retrieved 2021-08-01.
  163. ↑ De Vynck, Gerrit (September 28, 2021). "YouTube is banning prominent anti-vaccine activists and blocking all anti-vaccine content". The Washington Post. Archived from the original on September 29, 2021.
  164. ↑ Wakabayashi, Daisuke; Hsu, Tiffany (October 7, 2021). "Google bans ads on content, including YouTube videos, with false claims about climate change". The New York Times. Archived from the original on October 8, 2021.
  165. ↑ Mishra, Stuti (May 4, 2023). "Google profiting from climate misinformation on YouTube, report finds". The Independent. Archived from the original on 27 August 2023.
  166. 1 2 "YouTube making money off new breed of climate denial, monitoring group says". Reuters. 16 January 2024. Archived from the original on 16 January 2024.
  167. ↑ Stapleton, Paul (2003). "Assessing the quality and bias of web-based sources: implications for academic writing". Journal of English for Academic Purposes. 2 (3): 229–245. doi:10.1016/S1475-1585(03)00026-2.
  168. ↑ West, Jevin D.; Bergstrom, Carl T. (2021). "Misinformation in and about science". Proceedings of the National Academy of Sciences . 118 (15). Bibcode:2021PNAS..11812444W. doi: 10.1073/pnas.1912444117 . PMC   8054004 . PMID   33837146.
  169. 1 2 "Facebook's Lab-Leak About-Face". The Wall Street Journal. Archived from the original on 2021-07-14. Retrieved 2021-07-14.
  170. ↑ "Covid origin: Why the Wuhan lab-leak theory is being taken seriously". BBC News. 27 May 2021. Archived from the original on 30 June 2021. Retrieved 14 July 2021.
  171. ↑ "Hydroxychloroquine: Why a video promoted by Trump was pulled on social media". BBC News. 2020-07-28. Archived from the original on 2020-11-02. Retrieved 2021-11-24.
  172. ↑ "Stella Immanuel – the doctor behind unproven coronavirus cure claim". BBC News. 2020-07-29. Archived from the original on 2021-10-11. Retrieved 2020-11-23.
  173. ↑ Bertrand, Natasha (October 19, 2020). "Hunter Biden story is Russian disinfo, dozens of former intel officials say". Politico . Archived from the original on October 20, 2020. Retrieved October 20, 2020.
  174. ↑ Lizza, Ryan (September 21, 2021). "Politico Playbook: Double Trouble for Biden". Politico . Archived from the original on November 23, 2021. Retrieved September 23, 2021.
  175. ↑ Gladstone, Brooke (2012). The Influencing Machine. New York: W. W. Norton & Company. pp. 49–51. ISBN   978-0-393-34246-8.
  176. ↑ Stewart, Mallory (2021). "Defending Weapons Inspections from the Effects of Disinformation". AJIL Unbound. 115: 106–110. doi: 10.1017/aju.2021.4 . S2CID   232070073.
  177. ↑ Brosnan, Deanne (13 January 2021). "When Misinformation is Misinformation". CE Think Tank Newswire. Miami. ProQuest   2477885938.
  178. 1 2 "Deepfakes, Elections, and Shrinking the Liar's Dividend | Brennan Center for Justice". www.brennancenter.org. 2024-02-08. Retrieved 2024-04-12.
  179. ↑ Bodner, Glen E.; Musch, Elisabeth; Azad, Tanjeem (December 2009). "Reevaluating the potency of the memory conformity effect". Memory & Cognition. 37 (8): 1069–1076. doi: 10.3758/MC.37.8.1069 . PMID   19933452.
  180. ↑ Southwell, Brian G.; Thorson, Emily A.; Sheble, Laura (2018). Misinformation and Mass Audiences. University of Texas Press. ISBN   978-1-4773-1458-6.
  181. ↑ Barker, David (2002). Rushed to Judgement: Talk Radio, Persuasion, and American Political Behavior. New York: Columbia University Press. pp. 106–109.
  182. ↑ "The misinformation that was told about Brexit during and after the referendum". The Independent. 2 August 2018. Archived from the original on 15 May 2022.
  183. ↑ Marwick, Alice; Lewis, Rebecca (2017). Media Manipulation and Disinformation Online. New York: Data & Society Research Institute. pp. 40–45.
  184. ↑ Aral 2020, pp. 45–47.
  185. ↑ O'Connor, Cailin; Weatherall, James Owen (2019). The Misinformation Age: How False Beliefs Spread . New Haven: Yale University Press. pp.  10. ISBN   978-0-300-23401-5.
  186. ↑ Sinha, P.; Shaikh, S.; Sidharth, A. (2019). India Misinformed: The True Story. Harper Collins. ISBN   978-93-5302-838-1.
  187. 1 2 Bratu, Sofia (May 24, 2020). "The Fake News Sociology of COVID-19 Pandemic Fear: Dangerously Inaccurate Beliefs, Emotional Contagion, and Conspiracy Ideation". Linguistic and Philosophical Investigations. 19: 128–134. doi: 10.22381/LPI19202010 .
  188. ↑ Gayathri Vaidyanathan (22 July 2020). "News Feature: Finding a vaccine for misinformation". Proceedings of the National Academy of Sciences of the United States of America . 117 (32): 18902–18905. Bibcode:2020PNAS..11718902V. doi:10.1073/PNAS.2013249117. ISSN   0027-8424. PMC   7431032 . PMID   32699146. Wikidata   Q97652640.
  189. ↑ "Misinformation on coronavirus is proving highly contagious". AP NEWS. 2020-07-29. Archived from the original on 2020-11-20. Retrieved 2020-11-23.
  190. ↑ "Info-Environmentalism: An Introduction". Archived from the original on 2018-07-03. Retrieved 2018-09-28.
  191. ↑ "Information Environmentalism". Digital Learning and Inquiry (DLINQ). 2017-12-21. Archived from the original on 2018-09-28. Retrieved 2018-09-28.
  192. ↑ Righetti, Nicola; Rossi, Luca; Marino, Giada (4 July 2022). "At the onset of an infodemic: Geographic and disciplinary boundaries in researching problematic COVID-19 information". First Monday. doi: 10.5210/fm.v27i7.12557 . S2CID   250289817.
  193. ↑ Bernstein, Joseph (9 August 2021). "Bad News: Selling the story of disinformation". Harper's Magazine. Archived from the original on 26 September 2022. Retrieved 30 September 2022.
  194. ↑ Adler-Bell, Sam (2022-05-20). "The Liberal Obsession With 'Disinformation' Is Not Helping". Intelligencer. Archived from the original on 2022-09-30. Retrieved 2022-09-30.
  195. ↑ Camargo, Chico Q.; Simon, Felix M. (20 September 2022). "Mis- and disinformation studies are too big to fail: Six suggestions for the field's future". Harvard Kennedy School Misinformation Review. doi: 10.37016/mr-2020-106 . S2CID   252423678.
  196. ↑ Westerlund, Mika (2019-01-01). "The Emergence of Deepfake Technology: A Review". Technology Innovation Management Review. 9 (11): 39–52. doi: 10.22215/timreview/1282 . ISSN   1927-0321.
  197. ↑ Ferrara, Emilio (2017-07-31). "Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election". First Monday. arXiv: 1707.00086 . doi: 10.5210/fm.v22i8.8005 . ISSN   1396-0466.
  198. ↑ Bakshy, Eytan; Messing, Solomon; Adamic, Lada A. (2015-06-05). "Exposure to ideologically diverse news and opinion on Facebook". Science. 348 (6239): 1130–1132. Bibcode:2015Sci...348.1130B. doi:10.1126/science.aaa1160. ISSN   0036-8075. PMID   25953820.
  199. ↑ "Document-level Claim Extraction and Decontextualisation for Fact-Checking". arxiv.org. Retrieved 2024-10-10.
  200. ↑ Afchar, Darius; Nozick, Vincent; Yamagishi, Junichi; Echizen, Isao (December 2018). "MesoNet: A Compact Facial Video Forgery Detection Network". 2018 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE. pp. 1–7. arXiv: 1809.00888 . doi:10.1109/wifs.2018.8630761. ISBN   978-1-5386-6536-7.
  201. ↑ Carroll, Alexander J.; Borycz, Joshua (July 2024). "Integrating large language models and generative artificial intelligence tools into information literacy instruction". The Journal of Academic Librarianship. 50 (4): 102899. doi: 10.1016/j.acalib.2024.102899 .

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