Difference between revisions of "Anonymity"

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''First, a large group of workers may do microtasks to complete a whole project; the best-known platform in this arena is Amazon Mechanical Turk. Second, companies may use cloudwork platforms to connect with individual workers, or a small group of workers, who then complete larger jobs (e.g., Elance and oDesk). Finally, a company may run “contests,” where numerous workers complete a task and only the speediest or best worker is paid (e.g., InnoCentive and Worth1000). In some contests, the company commits to picking at least one winner; in others, there is no such guarant''ee.
 
''First, a large group of workers may do microtasks to complete a whole project; the best-known platform in this arena is Amazon Mechanical Turk. Second, companies may use cloudwork platforms to connect with individual workers, or a small group of workers, who then complete larger jobs (e.g., Elance and oDesk). Finally, a company may run “contests,” where numerous workers complete a task and only the speediest or best worker is paid (e.g., InnoCentive and Worth1000). In some contests, the company commits to picking at least one winner; in others, there is no such guarant''ee.
 
*For a quick overview by Jeff Howe, author of Crowdsourcing,[http://books.google.com/books?id=ge_0LBOcwWsC&printsec=frontcover&dq=crowdsourcing&hl=en&ei=QinGTKS9AcGAlAeHtLX-AQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CC8Q6AEwAA#v=onepage&q&f=false] take a look at this YouTube clip.[http://www.youtube.com/watch?v=F0-UtNg3ots]
 
*For a quick overview by Jeff Howe, author of Crowdsourcing,[http://books.google.com/books?id=ge_0LBOcwWsC&printsec=frontcover&dq=crowdsourcing&hl=en&ei=QinGTKS9AcGAlAeHtLX-AQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CC8Q6AEwAA#v=onepage&q&f=false] take a look at this YouTube clip.[http://www.youtube.com/watch?v=F0-UtNg3ots]
 
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*Northwestern University Professor Kris Hammond also explains crowdsourcing, but argues its downsides are worker rewards and quality.[http://www.youtube.com/watch?v=eX7RiV-wa_s&feature=related]
  
 
== A Framework For Analyzing Issues in Crowdsourcing ==
 
== A Framework For Analyzing Issues in Crowdsourcing ==

Revision as of 01:21, 26 October 2010

Crowdsourcing

  • Definition: Although crowdsourcing can have many meanings, we define it here to mean breaking down large tasks into small ones that can be performed asynchronously.
  • The Best Practices for crowdwork, developed last year and reposted on Class 3, classify crowdwork three ways:

First, a large group of workers may do microtasks to complete a whole project; the best-known platform in this arena is Amazon Mechanical Turk. Second, companies may use cloudwork platforms to connect with individual workers, or a small group of workers, who then complete larger jobs (e.g., Elance and oDesk). Finally, a company may run “contests,” where numerous workers complete a task and only the speediest or best worker is paid (e.g., InnoCentive and Worth1000). In some contests, the company commits to picking at least one winner; in others, there is no such guarantee.

  • For a quick overview by Jeff Howe, author of Crowdsourcing,[1] take a look at this YouTube clip.[2]
  • Northwestern University Professor Kris Hammond also explains crowdsourcing, but argues its downsides are worker rewards and quality.[3]

A Framework For Analyzing Issues in Crowdsourcing

1. How do concerns of reputation and identity play into crowdsourced work quality?

  • tasks where want rep known, others not known
  • phone card/coupon system
  • Verification of workers is becoming a problem (can access the linked article through Harvard Library).[4]

2. Can we ensure work quality using (semi)automated mechanisms?

  • Some have attempted to use crowdsourcing to ensure quality on crowsourced tasks using cheat detection mechanisms.[5] This can be done for both routine and complex tasks.

3. Can we enhance work quality using a targeting system

  • Amazon rec, ebay sytle, MT?, differentiate tasks?