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That property in any object, whereby it tends to produce benefit, advantage, pleasure, good, or happiness ... [or] to prevent the happening of mischief, pain, evil, or unhappiness to the party whose interest is considered.
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Shadow banning, also called stealth banning, hellbanning, ghost banning, and comment ghosting, is the practice of blocking or partially blocking a user or the user's content from some areas of an online community in such a way that the ban is not readily apparent to the user, regardless of whether the action is taken by an individual or an algorithm. For example, shadow-banned comments posted to a blog or media website would be visible to the sender, but not to other users accessing the site.
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Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract actionable patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to shift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to shift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.
Jason Goepfert is an American researcher and columnist focused on the development of behavioral finance. Prior to founding Sundial Capital Research, he was the manager of back office operations for Deephaven Capital Management, a Minnesota-based hedge fund, and Wells Fargo's online brokerage unit.
Chris Danforth is a computer scientist and a professor of applied mathematics at the University of Vermont. He is known for his work with the Hedonometer, a tool developed for measuring collective mood with sentiment analysis.
Peter Sheridan Dodds is an Australian applied Mathematician. He is the director of the Vermont Complex Systems Center and Professor at the University of Vermont's Department of Mathematics and Statistics. He has collaborated in several researches related to big data problems in areas as language, stories, sociotechnical systems, Earth science, biology, and ecology. With Chris Danforth, he co-runs the Computational Story Lab, the MassMutual Center of Excellence in Complex Systems and Data Science, and together, they developed the hedonometer.
References
- ↑ Oxford English Dictionary definition
- ↑ Edgeworth's Hedonimeter and the Quest to Measure Utility
- ↑ Reuters - "Jackson's death was blogosphere's saddest day: study"
- ↑ Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents
- ↑ The Atlantic - "The Geography of Happiness According to 10 Million Tweets"
- 1 2 Mackenzie, Dana (2020-09-14). "How algorithms discern our mood from what we write online". Knowable Magazine. doi: 10.1146/knowable-091120-1 . S2CID 242984992.
- ↑ Computational Story Lab - "Now online: the Dow Jones Index of Happiness"
- ↑ Bloomberg Businessweek - "Forget GDP. Data Crunchers Measure Happy Tweets for Key Economic Indicator"
- ↑ Mackenzie, Dana; Magazine, Knowable (19 September 2020). "How Algorithms Discern Our Mood From What We Write Online". The Wire Science.