Not logged in
Talk
Contributions
Create account
Log in
Navigation
Main page
About
People
Publications
Teaching
Resources
Research Blog
Wiki Functions
Recent changes
Help
Licensing
Page
Discussion
Edit
View history
Editing
Designing Internet Research (Winter 2020)
(section)
From CommunityData
Jump to:
navigation
,
search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== Week 6: Tuesday February 11: Crowdsourcing, Digital Labor Markets, and Human Computation === :'''Note:''' I've marked things as '''[Required]''' below if they are required because I thought it made more sense to keep the topics groups of articles below intact. MTurk documentation and guidelines: * '''[Required]''' [https://docs.aws.amazon.com/AWSMechTurk/latest/RequesterUI/Introduction.html Amazon Mechanical Turk Requester UI Guide] — ''Skim, but make sure you're ready to submit tasks.'' * '''[Required]''' [https://mturkpublic.s3.amazonaws.com/docs/MTURK_BP.pdf Amazon Mechanical Turk Best Practices Guide] — ''Skim, but make sure you're ready to submit tasks.'' * '''[Required]''' Shaw, Aaron. 2015. “Hired Hands and Dubious Guesses: Adventures in Crowdsourced Data Collection.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig. The MIT Press. ''[[https://canvas.uw.edu/files/61787315/download?download_frd=1 Available in Canvas]]'' * '''[Required]''' [https://blog.mturk.com/tutorials/home Tutorials Posted on the MTurk blog] — ''Skim and browse and pay attention to things that are like what you'd like to do in the class session.'' * '''[Required]''' [https://wearedynamo.fandom.com/wiki/Guidelines_for_Academic_Requesters Guidelines for Academic Requesters] and [https://wearedynamo.fandom.com/wiki/Basics_of_how_to_be_a_good_requester Basics of How to be a good Requester] from the ''We Are Dynamo'' — These sets of guidelines were created by Turkers as part of an effort to engage in collective actions and organizer of Turkers run by Niloufar Saleh in the paper below. * Mason, Winter, and Siddharth Suri. 2011. “Conducting Behavioral Research on Amazon’s Mechanical Turk.” Behavior Research Methods 44 (1): 1–23. https://doi.org/10.3758/s13428-011-0124-6. {{avail-uw|https://doi.org/10.3758/s13428-011-0124-6}} — ''Dated but still somewhat useful.'' Overviews of MTurk and issues of data quality: * Horton, John J., David G. Rand, and Richard J. Zeckhauser. 2011. “The Online Laboratory: Conducting Experiments in a Real Labor Market.” Experimental Economics 14 (3): 399–425. https://doi.org/10.1007/s10683-011-9273-9. {{avail-uw|https://doi.org/10.1007/s10683-011-9273-9}} * Buhrmester, Michael, Tracy Kwang, and Samuel D. Gosling. 2011. “Amazon’s Mechanical Turk: A New Source of Inexpensive, yet High-Quality, Data?” Perspectives on Psychological Science, February. https://doi.org/10.1177/1745691610393980. {{avail-uw|https://doi.org/10.1177/1745691610393980}} * Casler, Krista, Lydia Bickel, and Elizabeth Hackett. 2013. “Separate but Equal? A Comparison of Participants and Data Gathered via Amazon’s MTurk, Social Media, and Face-to-Face Behavioral Testing.” Computers in Human Behavior 29 (6): 2156–60. https://doi.org/10.1016/j.chb.2013.05.009. {{avail-uw|https://doi.org/10.1016/j.chb.2013.05.009}} * '''[Required]''' Weinberg, Jill, Jeremy Freese, and David McElhattan. 2014. “Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample.” Sociological Science 1: 292–310. https://doi.org/10.15195/v1.a19. {{avail-free|https://doi.org/10.15195/v1.a19}} * Kees, Jeremy, Christopher Berry, Scot Burton, and Kim Sheehan. 2017. “An Analysis of Data Quality: Professional Panels, Student Subject Pools, and Amazon’s Mechanical Turk.” Journal of Advertising 46 (1): 141–55. https://doi.org/10.1080/00913367.2016.1269304. {{avail-uw|https://doi.org/10.1080/00913367.2016.1269304}} * '''[Required]''' Kennedy, Ryan, Scott Clifford, Tyler Burleigh, Ryan Jewell, and Philip Waggoner. 2018. “The Shape of and Solutions to the MTurk Quality Crisis.” SSRN Scholarly Paper ID 3272468. Rochester, NY: Social Science Research Network. https://papers.ssrn.com/abstract=3272468. ''[[https://papers.ssrn.com/abstract=3272468 Available free online]]'' Culture and work conditions for Turkers: * Irani, Lilly. 2015. “The Cultural Work of Microwork.” New Media & Society 17 (5): 720–39. https://doi.org/10.1177/1461444813511926. {{avail-uw|https://doi.org/10.1177/1461444813511926}} * Kittur, Aniket, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. 2013. “The Future of Crowd Work.” In Proceedings of the 2013 Conference on Computer Supported Cooperative Work, 1301–1318. CSCW ’13. San Antonio, Texas, USA: Association for Computing Machinery. https://doi.org/10.1145/2441776.2441923. {{avail-uw|https://doi.org/10.1145/2441776.2441923}} {{avail-free|http://hci.stanford.edu/publications/2013/CrowdWork/futureofcrowdwork-cscw2013.pdf}} * Gray, Mary L., Siddharth Suri, Syed Shoaib Ali, and Deepti Kulkarni. 2016. “The Crowd Is a Collaborative Network.” In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 134–147. CSCW ’16. San Francisco, California, USA: Association for Computing Machinery. https://doi.org/10.1145/2818048.2819942. {{avail-uw|https://doi.org/10.1145/2818048.2819942}} * '''[Required]''' Semuels, Alana. 2018. “The Internet Is Enabling a New Kind of Poorly Paid Hell.” The Atlantic. January 23, 2018. https://www.theatlantic.com/business/archive/2018/01/amazon-mechanical-turk/551192/. {{avail-free|https://www.theatlantic.com/business/archive/2018/01/amazon-mechanical-turk/551192/}} Systems to approve Turker experiences: * Salehi, Niloufar, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier. 2015. “We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers.” In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 1621–1630. CHI ’15. Seoul, Republic of Korea: Association for Computing Machinery. https://doi.org/10.1145/2702123.2702508. {{avail-uw|https://doi.org/10.1145/2702123.2702508}} * Irani, Lilly C., and M. Six Silberman. 2013. “Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 611–620. CHI ’13. Paris, France: Association for Computing Machinery. https://doi.org/10.1145/2470654.2470742. {{avail-uw|https://doi.org/10.1145/2470654.2470742}} '''Assignments to complete before class:''' The first task is to complete a task a crowd worker: * '''If you are a US citizen:''' Sign up as a worker on MTurk. Find and complete at least 5 "hits" as a worker on [http://mturk.com Amazon Mechanical Turk]. Note that to do this you will need to create a ''worker'' account on Mturk. * '''If you are not a US citizen or if you cannot sign up on MTurk for some other reason:''' Complete at least 3-4 classification tasks in at least 2 different [https://www.zooniverse.org/projects Zooniverse projects] of your choice. Also, complete at least one "study" in [https://www.labinthewild.org/ Lab in the Wild] * In either case: Record (write down) details and notes about your tasks: What did you do? Who was the requester? What could you was the purpose of the task (as best you could tell)? What was the experience like? What research applications can you (not) imagine for this kind of system? The second task is to get ready to launch a task as a requestor. We will design and launch tasks in class but I want you to do the following ahead of time: * Create a "requester" account on [http://mturk.com Amazon Mechnical Turk]. Doing so may require up top 48 hours to be approved so please do that immediately so you have it ready to go in class. * Put money onto your requestor account to pay workers. A $5 budget should be sufficient for our class. They should take any payment that Amazon does. * Think of at least one small classification or coding task (e.g., of Tweets, images, etc) and one human subjects data collection tasks like a survey, a survey experiment, etc, that you would like to run. You will have a budget of $5 to run the task! * If running this task will involve some data (e.g., a set of images or URLs, a set of Tweets, etc), collect that material in a spreadsheet before class. If it will involve a survey, create your survey in a Google Form and/or a Survey Monkey or Qualtrics survey before class.
Summary:
Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see
CommunityData:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)
Tools
What links here
Related changes
Special pages
Page information