Virtual sweatshops

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An advertisement for KolotiBablo.com, which relies on virtual sweatshops
V
irtual sweatshops are a form of crowdsourcing[1] in which companies break large tasks down into smaller tasks that can then be outsourced online to independent contractors. These smaller tasks require human intelligence that computers, algorithms, and artificial intelligence are unable to solve. The first company to use virtual sweatshops cannot be traced, however, the trend began in the early 2000s. Most companies that use virtual sweatshops are not transparent about the process. Nonetheless, the phenomenon gained media attention in December of 2014 when the workers at Amazon’s Mechanical Turk, a form of a virtual sweatshop, protested against the company’s owner.[2] Virtual sweatshops came under scrutiny in the latter half of the 2010s in regards to ethical concerns - working conditions, policy gaps, and virtual trust decreasing.

Background

The word “virtual sweatshop” derived from the term “sweatshop” which was coined in 1884 and signifies a shop or factory in which employees work for long hours and low wages[3]. Virtual sweatshops are often likened to sweatshops in the Industrial Revolution, except virtual sweatshops are accessible online and workers can be hired on a global scale. Defining attributes of virtual sweatshops include: employees working on tasks outsourced by a company, receiving low compensation for completed tasks (in US currency, wages can start as low as 1 penny[4]), and all work is completed online.[1]

The origins of virtual sweatshops have not been traced to a particular instance in history, however, their usage and popularity emerged in early 2000s.In 2013, the online outsourcing industry was estimated to have earned $2 billion in revenue, and expected to increase to $25 billion by 2020. This market, comprising of sites like Clickworker, UpWork, Mechanical Turk, Crowdflower, and more, has grown immensely since the early 2000s and it's anticipated to continue to prosper well into the 2020s.[4]

Applications

Companies would outsource small tasks — such as tagging photos, taking surveys, or verifying URLs[4]. that are very simple for humans to complete, yet difficult for computers. Once the "workers" pass a computer skills and reading comprehension test, they are assigned tasks.[5]

Virtual sweatshops is also a platform for companies to challenge scientists in solving complicated problems for financial rewards. This application is the most lucrative form of employment in virtual sweatshops, as these companies are willing compensate a large amount of funds for problems that their immediate staff didn't have the ability to solve.[1] Virtual sweatshops also revolutionized data collection for researchers, as online surveys have a more representative sample of the population.[6]

Amazon's Mechanical Turk

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Mechanical Turk was launched by the company Amazon in 2005 and is one of the largest virtual sweatshops in the U.S., with over 0.5 million virtual workers.[4] Workers are referred to as “Turkers” and complete HITs (Human Intelligence Tasks) that are posted on Amazon’s site.The Turkers has the ability to choose which tasks to complete and compensated in credits for Amazon.com. Turkers can complete tasks, but their employers must be located in the United States. Employers, are known as Requesters, has the option to set the criteria to seek workers and can accept or reject the final product the Turker submits.

Mechanical Turk was originally the most successful form of crowdsourcing at the time of its release, but other companies followed suit in the later half of the 2000s and in the 2010s to harness the utility and power virtual sweatshops can provide. One can argue that this type of access has its disadvantages as "its expensive, difficult, slow, and it's not obvious if its produces better outcomes"[1]

Cambridge Analytica

Cambridge.jpg

Cambridge Analytica was a company that developed out of the SCL Group in 2013. Its main purpose was to collect data on people’s personalities so that an algorithm could be constructed for campaigns to more effectively target viewers. The company played an important role in Donald Trump’s U.S. presidential campaign and in Britain’s EU membership referendum Leave campaign.

Cambridge Analytica is an instance in which virtual sweatshops were used for analytical and research purposes. To acquire personal data, the company utilized Amazon’s Mechanical Turk and Qualtrics, a survey tool, to hire Turkers to take personality quizzes.[7] The quiz paid Turkers $1 to $2 to complete the survey and provide access to their personal Facebook data.[8] Around 320,000 Turkers participated in the survey, and unknowingly gave Cambridge Analytica access to at least 160 Facebook profiles per Turker. This data was then used by the company in developing their algorithm.[7]

Reception and Awareness

Virtual sweatshops remain unknown in the media and the general public’s knowledge. Many companies that use virtual sweatshops ask workers not to disclose that they have worked for them. This form of labor can allow workers more flexibility in their schedules, as the workers are the ones choosing which tasks to complete and when. Since virtual sweatshops are by nature virtual, they also allow employees to work from home. Flexibility, location, and simpleness of tasks are the main motivations as to why employees work for virtual sweatshops.[5]

A Christmas email campaign, initiated in December 2014 on behalf of Amazon’s Turkers, began protesting against the terms of virtual labor. The campaign, directed at Amazon’s CEO Jeff Bezo, demanded better representation and recognition for workers and for more regulation. It protested against the lack of legal consequences, such as employers not paying their employees and requested for minimum payment rates for work.[2] In response to these types of working conditions, online forums were created for virtual workers to share tips and evaluate sources of work.[4]

Virtual Sweatshops and Research

Interestingly, crowdsourcing is very popular when it comes to research as it allow access to multiple people and gain results quicker. It is true that Amazon's Mechanical Turk is well known in regards to research. However, it does raise some red flags as its meant to be used for educational purposes and potentially make growth in their research. Yet, there are some concerns due to this "virtual sweatshop" concept that some may not want to admit. From the researchers' perspectives, they can easily access a wider variety of "subjects" or "participants" at any time and/or day. [9] This type of perspective can easily make a lot of people not realize the negative side of crowdsourcing because they view pros and a different set of cons that differ from the those who work in "virtual sweatshops". It makes one wonder if we getting closer to the point where people can cross over and look at the cons from the standpoint of it is a virtual sweatshop and hope to make improvements for the better. If we can make some changes with physical sweatshops it doesn't hurt to believe that these changes can be made in the virtual world as well.

Ethical Concerns

Policy Gaps and Job Exploitation

Virtual sweatshops are not under the same legislation and regulation as physical human labor. Many virtual sweatshop employers are not required or enforced to file forms for payroll taxes, set minimum wages, compensate overtime, or offer benefits to its workers. Job security is not ensured and companies can cancel or refuse to pay any work that they requested.[1] This lack of regulation is due to the policy gaps that form as new technologies emerge.

Unfortunately, computer revolution led to fast paced changes in technology so ethical policies didn't have the time or resources to play "catch up". As seen in virtual sweatshops, it wasn't anticipated so there wasn't guidelines or laws in place to handle the virtualization of labor. Moor's Law defines a linear relationship between social impact and ethical problems, in which technological revolutions that have greater social impact also create more ethical problems.[10] Virtual sweatshops are in accordance with Moor’s Law meaning that the more widespread they became, the more ethical problems they tend to generate. This phenomena can be proven by Cambridge Analytica’s exploitation of virtual sweatshops, as they used virtual sweatshops (which already faced ethical concerns regarding payment and job security) to access other users’ Facebook data, thus creating more ethical ambiguity and concern regarding privacy and accessibility.

There has been debates in the 2000s and 2010s in regards to how to facilitate ethics in online discourse, among virtual laborers. It is true that after almost two decades of existence, there has been minimal improvement. But, virtual sweatshops still maintain their unethical practices with little improvement. Its due to the lack of transparency how companies work — companies that use virtual sweatshops often require that their employees refrain from mentioning their affiliation and taking measures to avoid drawing public attention, thereby obscuring the processes in which they are obtaining their labor force. The lack of transparency in the form of information invisibility enable companies in their unethical actions, and hindering the formation of tighter regulation.[11]

Without regulating this online labor force to the extent that physical jobs are regulated, this policy gap continues to exist in virtual sweatshops, though movements like Amazon’s Turkers email campaign advocate for change.

Governance and Decentralization

Virtual sweatshops typically do not adhere to formal law, but can be regulated by company guidelines, the market, and the architectural structure embedded in the technology. Wikipedia has undergone a phenomenon in which its governance has increasingly decentralized as a result of the freedom and flexibility in its technological design and organization.[12] Companies have been able to self-prescribe the mechanisms, expectations, and work expectations for the "workers". Since virtual sweatshops solely exist online, companies has the option to forfeit bureaucratic hierarchical work structures in favor of software programming schemes that organize the virtual work environment for them.[13]

This restructuring of governance has allowed virtual sweatshops to operate decentrally, which aids company growth and production. Yet, it presents ethical problems by dispersing accountability. Without the presence of formal law, virtual sweatshops can only be held accountable to the standards that the company establishes for themselves.The globalization and decentralization of virtual sweatshops made it a challenging for those seeking more regulation because they must confront the different legal frameworks depending on the workers' location.[13] Virtual sweatshops can outsource their labor to many nations and organizations that do not adhere to the same forms of government, and thus create a loophole against opponents of virtual sweatshops. This lack of uniform regulation is an ethical concern as it allows the room for discrimination, fraud, tax evasion, low wages, and job insecurity to exist.

Virtual Trust

Virtual sweatshops has the option to maintain a steady workforce, despite not offering workers the same benefits and stableness that physical jobs typically provide. Virtual trust plays a large role in attracting workers to virtual sweatshops, as its expected that their employers will compensate them for their work. Without this trust, virtual sweatshops could not thrive. Many theorists who study ethics debate whether virtual trust is a myth or not and virtual sweatshops show that sometimes it can be trusted.[14]

Virtual sweatshops demonstrate the concept of “verkeersbordvrij”. Verkeersbordvrij is a dutch term that means “free of traffic signs” which is used to characterize a scientific study of traffic management in the Dutch city of Drachten. The study removed all street signs to see if drivers would still operate ethically and with the safety of others in mind.[15] What the study proved was exactly what has been occurring in virtual sweatshops — that despite the lack of regulation, transactions between workers and employers can remain ethical, and demonstrate trust. This virtual trust can be invested in the actual people behind the screens or the processes themselves, but nonetheless functions to maintain company production and a steady workforce. In other words, virtual trust acts as an unspoken contract that binds participants into an employer-employee relationship to ensure payment and reliability. Virtual trust, however, is not legally contractual which can easily be broken.[1] Due to this ethical uncertainty, many workers prefer to have regulation and laws in addition to virtual trust to guarantee that their work is compensated.

See Also

References

  1. 1.0 1.1 1.2 1.3 1.4 1.5 Cherry, M., “A Taxonomy of Virtual Work”, 2011, p. 962-972
  2. 2.0 2.1 Harris, M., “Amazon's Mechanical Turk workers protest: 'I am a human being, not an algorithm'”, The Guardian, 2014
  3. ”sweatshop”, Merriam-Webster.com, Retrieved March 10th, 2019
  4. 4.0 4.1 4.2 4.3 4.4 Kavanaugh, S., “Virtual Sweatshops Paint A Bleak Picture Of The Future Of Work”, 2017
  5. 5.0 5.1 Zittrain, J., “The Internet Creates a New Kind of Sweatshop”, Newsweek, 2009
  6. Samuel, A., “Amazon’s Mechanical Turk has Reinvented Research”, 2018
  7. 7.0 7.1 Cadwalladr, C., “‘I made Steve Bannon’s psychological warfare tool’: meet the data war whistleblower”, The Guardian, 2018
  8. Weissman, C., “How Amazon Helped Cambridge Analytica Harvest Americans’ Facebook Data”, 2018
  9. Urban, Kylie. “Amazon Mechanical Turk: a Way to Recruit Study Participants?”, Crowdsourcing Human Research Subjects | Michigan Health Lab, 21 July 2016.
  10. Moor, J. “Why we need better ethics for emerging technologies”, 2005, p. 111-119
  11. Floridi, L. & Turilli, M., “The ethics of information transparency”, 2009, p. 105-112
  12. Forte, A., Larco, V. & Bruckman, A., “Decentralization in Wikipedia Governance”, Journal of Management Information Systems, 26:1, p. 49-72
  13. 13.0 13.1 Aneesh, A., “Global Labor: Algocratic Modes of Organization”, 2009, p. 348-370
  14. de Laat, P., “Trusting virtual trust”, 2005, p. 167-180
  15. Zittrain, J., “The Lessons of Wikipedia”, The Future of the Internet, 2008, p. 127-146