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Microwork is a series of many small tasks which together comprise a large unified project, and it is completed by many people over the Internet. [1] [2] Microwork is considered the smallest unit of work in a virtual assembly line. [3] It is most often used to describe tasks for which no efficient algorithm has been devised, and require human intelligence to complete reliably. The term was developed in 2008 by Leila Chirayath Janah of Samasource. [4] [5]
Microtasking is the process of splitting a large job into small tasks that can be distributed, over the Internet, to many people. [6] Since the inception of microwork, many online services have been developed that specialize in different types of microtasking. Most of them rely on a large, voluntary workforce composed of Internet users from around the world.
Typical tasks offered are repetitive but not so simple that they can be automated. Good candidates for microtasks have the following characteristics: [7]
It may also be known as ubiquitous human computing or human-based computation when focused on computational tasks that are too complex for distributed computing.
Microtasks are distinguished from macrotasks, which typically can be done independently. They require a fixed amount of time and they require a specialized skill.
The wage paid can range from a few cents per task to hundreds of dollars per project. [8]
Toloka and Amazon Mechanical Turk are examples of micro work markets, and they allow workers to choose and perform simple tasks online, reporting directly through the platform to receive payments in exchange. A task can be as complex as algorithm writing or as simple as labelling photos or videos, describing products, or transcribing scanned documents. Employers submit tasks and set their own payments, which are often pennies for each task. This crowdsourcing project was initiated by Amazon as a way for users to find duplicate webpages, and soon it became a service for individuals to contract computer programmers and other individuals to finish tasks that computers are unable to accomplish. Since then this project has expanded from its original form; nowadays, there are people who will complete various Mechanical Turk projects as extra income on the side.
LiveOps uses a distributed network of people to run a "Cloud Call Center", which is a virtual call center. Contracted workers can answer calls and provide other call center facilities without the need for the physical building or equipment of a traditional call center. The Red Cross used this system successfully during Hurricane Katrina in 2005, to process 17,000+ calls without having to open or hire staff for a call center. [8]
InnoCentive allows businesses to post problems and offer payment for answers. These questions are often far less simple than tasks posted on services like Mechanical Turk, and the payments are accordingly higher. For example: "Think you can find a way to prevent orange juice stored in see-through bottles from turning brown? There may be $20,000 in it for you." [8]
Galaxy Zoo is a scientific effort to use online crowdsourcing to classify a very large number of galaxies from astronomical images.
In 2010, the company Internet Eyes launched a service where in return for a potential reward, home viewers would watch live CCTV streams and alert shop owners of potential theft in progress. [9] [10]
Most uses of microtasking services involve processing data, especially online. [11] These include driving traffic to websites, gathering data like email addresses, and labelling or tagging data online. They are also used to accurately translate or transcribe audio clips and pictures, since these are activities that are better suited to humans than computers. These are used both for practical data conversion purposes, but also to improve upon and test the fidelity of machine learning algorithms. [12] Identification of pictures by humans has been used to help in missing persons searches, though to little effect. [13]
Other than the manipulation of data, these services are also a good platform for reaching a large population for social studies and surveys since they make it easy to offer monetary incentives. [14]
Companies can also outsource projects to specialists on whom they otherwise would have expended more resources hiring and screening. This method of pay per task is attractive to employers; therefore, companies like Microsoft, AT&T, Yahoo! are currently crowdsourcing some of their work through CrowdFlower, a company that specializes in allocating jobs for foreign and local crowd workers. CrowdFlower alone has completed 450 million completed human intelligence tasks between 2007 and 2012. [15] CrowdFlower operates differently than Amazon Mechanical Turk. Jobs are taken in by the company; then in turn they are allocated to the right workers through a range of channels. They implemented a system called Virtual Play, which allows the users to play free games that would in turn accomplish useful tasks for the company. [16]
In 2011 an estimated $375 million was contributed by digital crowdsourced labour. [17]
As of November 2009 [update] , India and the United States together make up roughly 92% of the workers on Amazon Mechanical Turk with the U.S. making up 56% of these. However, the percentage of Indian Turkers quadrupled in only one year from 2008 to 2009. As of 2009, the Indian Turkers are much younger and more educated than their American counterparts,[ citation needed ] with the average age of Indian workers being 26 and American workers being 35. In addition, 45% of the digital workforce in India have bachelor's degrees and 21% have master's degrees; in contrast only 38% of American Turkers have a bachelor's degree and 17% with a master's degree. Nonetheless, a majority of the digital workforce is educated young adults. The major difference between the American and Indian workforce lies in the gender: 63% of Indian Turkers are male compared to the 37% that makes up American Turkers. [18]
Microtasking services as they are implemented now allow their workers to work from home. Workers complete tasks on a voluntary basis; other than with time-sensitive jobs like call centers, they choose which jobs to complete and when they complete them.
Workers can work from anywhere in the world and receive payment directly over the Internet. Because workers can reside anywhere in the world, microwork can provide job opportunities with large Fortune 500 companies and many smaller companies for people living in poverty who would otherwise not be able to make a living wage. Through services like Samasource work and wealth are distributed from companies in developed countries to a large volume of families in poverty, especially women and youth who would otherwise not be able to generate income. [19] (Some services like Amazon Mechanical Turk, restrict the countries workers can connect from.)
For employers, microtasking services provide a platform to quickly get a project online and start receiving results from many workers at the same time. [20] The services offer large workforces which complete tasks concurrently, so large volumes of small tasks can be completed quickly. [21] Furthermore, since each task is discretely contained and tasks are usually simple in nature, each individual worker does not have to be fully trained or have complete knowledge of the project to contribute work. Under United States tax law, workers are treated as independent contractors, which means employers do not have to withhold taxes, and they only need to file a form 1099-MISC with the Internal Revenue Service if a given worker earns more than $600 per year. Workers are responsible for paying income taxes, including self-employment tax that would otherwise be paid by their employer.
Microtasking services have been criticized for not providing healthcare and retirement benefits, sick pay, and minimum wage, because they pay by the piece and treat workers as independent contractors rather than employees. They can also avoid laws on child labor and labor rights. Additionally, workers may have little idea of what their work is used for. The result may be that workers end up contributing to a project which has some negative impact or which they are morally opposed to. [8]
Some services, especially Amazon Mechanical Turk and other services that pay pennies on the task, have been called "digital sweatshops" by analogy with sweatshops in the manufacturing industry that exploit workers and maintain poor conditions. [25] Wages vary considerably depending on the speed of the worker and the per-piece price being offered. Workers choose what tasks they complete based on the task, price, and their experience with the employer. Employers can bid higher for faster completion or for higher-quality workers. On average, unskilled Turkers earn less than $2.00 an hour. [18] This is below minimum wage in the United States; however, for India, this is well above the minimum for most cities (India has more than 1200 minimum wages). [18] [26]
Because global services outsource work to underdeveloped or developing regions, competitive pricing and task completion could result in lower wages. Those low wages brought down by global competition are felt by microworkers in developed countries like the UK, where it's estimated that nearly two in three microworkers are paid less than £4 an hour. [27] The possibility also exists for true brick and mortar sweatshops to exploit microtasking services by enlisting those that are too poor to afford a computer of their own and aggregating their work and wages. There is also the possibility that the requesters may tell the worker that they reject the work but cheat the worker by using it anyway to avoid paying for it. [23] [24] However, while the dispersed geography of microwork can be used to keep wages low, the very networks that fragment the labour process can also be used by workers for organising and resistance. [28]
The San Francisco-based company CrowdFlower has facilitated outsourcing digital tasks to countries with poverty to stimulate their local economies. The crowdsourcing company has a partnership with Samasource, a non-profit organization that brings computer based work to developing countries, they have currently outsourced millions of repetitive microwork to the Kenyan refugee camps. These workers make $2 an hour; to the locals this is above average for refugees. [29] When asked if this is exploitation, Lukas Biewald of CrowdFlower argues that the "digital sweatshop" is a much better job for people from the developing world as opposed to working in a manufacturing sweatshop. He states that the treatment received by the workers are far superior and should not be categorized as a sweatshop, "The great thing about digital work is it's really hard to make a sweatshop out of digital work. It's really hard to force someone to do work, you can't beat someone up through a computer screen." [29]
A sweatshop or sweat factory is a crowded workplace with very poor, illegal working conditions. The manual workers are poorly paid, work long hours, and experience poor working conditions. Some illegal working conditions include poor ventilation, little to no breaks, inadequate work space, insufficient lighting, or uncomfortably/dangerously high or low temperatures. The work may be difficult, tiresome, dangerous, climatically challenging, or underpaid. Workers in sweatshops may work long hours with unfair wages, regardless of laws mandating overtime pay or a minimum wage; child labor laws may also be violated. Women make up 85 to 90% of sweatshop workers and may be forced by employers to take birth control and routine pregnancy tests to avoid supporting maternity leave or providing health benefits. The Fair Labor Association's "2006 Annual Public Report" inspected factories for FLA compliance in 18 countries including Bangladesh, El Salvador, Colombia, Guatemala, Malaysia, Thailand, Tunisia, Turkey, China, India, Vietnam, Honduras, Indonesia, Brazil, Mexico, and the US. The U.S. Department of Labor's "2015 Findings on the Worst Forms of Child Labor" found that "18 countries did not meet the International Labour Organization's recommendation for an adequate number of inspectors."
Employment is a relationship between two parties regulating the provision of paid labour services. Usually based on a contract, one party, the employer, which might be a corporation, a not-for-profit organization, a co-operative, or any other entity, pays the other, the employee, in return for carrying out assigned work. Employees work in return for wages, which can be paid on the basis of an hourly rate, by piecework or an annual salary, depending on the type of work an employee does, the prevailing conditions of the sector and the bargaining power between the parties. Employees in some sectors may receive gratuities, bonus payments or stock options. In some types of employment, employees may receive benefits in addition to payment. Benefits may include health insurance, housing, disability insurance. Employment is typically governed by employment laws, organisation or legal contracts.
Freelance, freelancer, or freelance worker, are terms commonly used for a person who is self-employed and not necessarily committed to a particular employer long-term. Freelance workers are sometimes represented by a company or a temporary agency that resells freelance labor to clients; others work independently or use professional associations or websites to get work.
Piece work or piecework is any type of employment in which a worker is paid a fixed piece rate for each unit produced or action performed, regardless of time.
Amazon Mechanical Turk (MTurk) is a crowdsourcing website with which businesses can hire remotely located "crowdworkers" to perform discrete on-demand tasks that computers are currently unable to do as economically. It is operated under Amazon Web Services, and is owned by Amazon. Employers post jobs known as Human Intelligence Tasks (HITs), such as identifying specific content in an image or video, writing product descriptions, or answering survey questions. Workers, colloquially known as Turkers or crowdworkers, browse among existing jobs and complete them in exchange for a fee set by the employer. To place jobs, the requesting programs use an open application programming interface (API), or the more limited MTurk Requester site. As of April 2019, Requesters could register from 49 approved countries.
Human-based computation (HBC), human-assisted computation, ubiquitous human computing or distributed thinking is a computer science technique in which a machine performs its function by outsourcing certain steps to humans, usually as microwork. This approach uses differences in abilities and alternative costs between humans and computer agents to achieve symbiotic human–computer interaction. For computationally difficult tasks such as image recognition, human-based computation plays a central role in training Deep Learning-based Artificial Intelligence systems. In this case, human-based computation has been referred to as human-aided artificial intelligence.
Crowdsourcing involves a large group of dispersed participants contributing or producing goods or services—including ideas, votes, micro-tasks, and finances—for payment or as volunteers. Contemporary crowdsourcing often involves digital platforms to attract and divide work between participants to achieve a cumulative result. Crowdsourcing is not limited to online activity, however, and there are various historical examples of crowdsourcing. The word crowdsourcing is a portmanteau of "crowd" and "outsourcing". In contrast to outsourcing, crowdsourcing usually involves less specific and more public groups of participants.
An online marketplace is a type of e-commerce website where product or service information is provided by multiple third parties. Online marketplaces are the primary type of multichannel ecommerce and can be a way to streamline the production process.
Figure Eight was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco.
Samasource Impact Sourcing, Inc., formerly known as Samasource and Sama, is a training-data company, focusing on annotating data for artificial intelligence algorithms. The company offers image, video, and sensor data annotation and validation for machine learning algorithms in industries including automotive, navigation, augmented reality, virtual reality, biotechnology, agriculture, manufacturing, and e-commerce. Sama's mission is to expand opportunity for low-income individuals through the digital economy. One of the first organizations to engage in impact sourcing, Sama trains workers in basic computer skills and pays a local living wage for their labor.
Leila Janah was an American businesswoman. She was the founder and CEO of Sama and LXMI. Sama's 11,000 employees have worked under contracts with companies including Microsoft, Google, Facebook, Walmart, Getty Images, Glassdoor and Vulcan Capital.
Micro-volunteering describes a volunteer, or team of volunteers, completing small tasks that make up a larger project. These tasks often benefit a research, charitable, or non-governmental organization. It differs from normal volunteerism as the tasks take only minutes to a few hours, and the volunteer does not make a long-term commitment. As a form of virtual volunteering, the tasks are usually distributed and completed online via an internet-connected device, including smartphones. It typically does not require an application process, screening or training period, takes only minutes or a few hours to complete, and does not require an ongoing commitment by the volunteer.
Macrotasking is a type of crowdsourcing that is distinct from microtasking. Macrotasks typically have the following characteristics:
Government crowdsourcing is a form of crowdsourcing employed by governments to better leverage their constituents' collective knowledge and experience. It has tended to take the form of public feedback, project development, or petitions in the past, but has grown to include public drafting of bills and constitutions, among other things. This form of public involvement in the governing process differs from older systems of popular action, from town halls to referendums, in that it is primarily conducted online or through a similar IT medium.
Digital labor or digital labour represents an emergent form of labor characterized by the production of value through interaction with information and communication technologies such as digital platforms or artificial intelligence. Examples of digital labor include on-demand platforms, micro-working, and user-generated data for digital platforms such as social media. Digital labor describes work that encompasses a variety of online tasks. If a country has the structure to maintain a digital economy, digital labor can generate income for individuals without the limitations of physical barriers.
Playment is an Indian data labeling platform which helps machine learning engineers build high quality ground truth datasets for training and validating machine learning models. It breaks down large problems into micro-tasks and distributes among its large community of trained annotators. It works on the principle of microwork, where a series of small tasks which together comprise a large unified project, and are completed by many people over the Internet.
Disaggregated work is a work divided into its elemental activities, which can be reassembled using alternative solutions, for example by automating some of the activities and getting rid of or changing other activities. The concept can be applied on the scale of an individual, a department, a company, or an entire industry. During the industrial revolution, disaggregation often entailed replacing tradespeople such as blacksmiths, carpenters, and weavers with steam-powered machines operated by unskilled laborers.
Gig workers are independent contractors, online platform workers, contract firm workers, on-call workers, and temporary workers. Gig workers enter into formal agreements with on-demand companies to provide services to the company's clients.
Ghost work is work performed by a human, but believed by a customer to be performed by an automated process. The term was coined by anthropologist Mary L. Gray and computer scientist Siddharth Suri in their 2019 book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass.
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