دانلود رایگان مقاله لاتین خدمات جبران خسارت از سایت الزویر
عنوان فارسی مقاله:
استفاده از Amazon Mechanical Turk و سایر سایتهای خدماتی جبران خسارت
عنوان انگلیسی مقاله:
Using Amazon Mechanical Turk and other compensated crowdsourcing sites
سال انتشار :2016
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بخشی از مقاله انگلیسی:
2. The nature of crowdsourcing sites
In agreement with the conceptualizations of crowdsourcing offered by Ford et al. (2015) and Prpic et al. (2015), we view crowdsourcing as a subcategory of outsourcing. Crowdsourcing is outsourcing whereby the workers doing the tasks are recruited through the Internet, whether or not the actual work is done online–—although in the vast majority of cases it will be. This article focuses on a subcategory of crowdsourcing: compensated crowdsourcing. In compensated crowdsourcing situations, individuals who complete the work receive some type of payment for accomplishing the organization’s tasks. This payment typically takes the form of monetary rewards, although some sites compensate individuals with things like gift cards.1 Amazon Mechanical Turk is one of the best known and most used of crowdsourcing sites. Amazon Mechanical Turk (MTurk) was launched by Amazon itself as a means of hiring people to do microtasks, such as labeling image files, for the main Amazon site (Landers & Behrend, 2015). Amazon then opened up MTurk to other companies with tasks for hire, to potentially be completed by the pool of workers on the site. Workers register for the site and then, based on their qualifications, participate in small jobs–—called Human Intelligence Tasks, or HITs–— that are posted by requesters: the organizations that have need for such tasks. The workforce on MTurk is primarily made up of individuals from the United States and India, although workers do come from all overthe globe.2 Table 1 offers a list of major compensated crowdsourcing sites. The quality of work done by compensated crowdsourced workers–—primarily workers on Amazon Mechanical Turk–—has been examined, mostly from the perspective of academic research. The quality of MTurk sample data has been found to be equivalent to in-person participants for tasks/uses such as psychological surveys (Goodman, Cryder, & Cheema, 2013), behavioral tests (Casler, Bickel, & Hackett, 2013), matched-comparison groups (Azzam & Jacobson, 2013), body size estimation (Gardner, Brown, & Boice, 2012), and natural field experiments in economics (Chandler & Kapelner, 2013). Results suggest that Amazon MTurk and other crowdsourcing sites can be a good source of data for research-like tasks and questions.
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کلمات کلیدی:
PDF]Opportunities for Crowdsourcing Research on Amazon Mechanical Turk crowdresearch.org/chi2011-workshop/papers/chen-jenny.pdf by JJ Chen - 2011 - Cited by 59 - Related articles compensation strategies will benefit the crowdsourcing field by establishing a ... Amazon launched its Mechanical Turk crowdsourcing ... data for other studies. Mechanical Turk: Research in the Crowdsourcing Age - Pew Internet www.pewinternet.org/2016/07/11/research-in-the-crowdsourcing-age-a-case-study/ Jul 11, 2016 - How scholars, companies and workers are using Mechanical Turk, a 'gig ... the structure of compensation and the “social contract” between firms and workers. ... The study utilizes three different research methodologies to ... Amazon Mechanical Turk - Wikipedia https://en.wikipedia.org/wiki/Amazon_Mechanical_Turk Amazon Mechanical Turk (MTurk) is a crowdsourcing Internet marketplace enabling individuals ... Because workers are paid as contractors rather than employees, requesters don't have to file forms, nor pay payroll .... The cost of MTurk was considerably lower than other means of conducting surveys, with workers willing to ... Understanding Amazon Mechanical Turk | Georgetown University consumerresearch.georgetown.edu/research/understanding-amazon-mechanical-turk/ Amazon Mechanical Turk is a crowdsourcing Internet marketplace that allows ... translating a paragraph from one language to another, selecting the correct ... The Worker is financially compensated, but only if the Requester approves of the ...
