TurKit: human computation algorithms on mechanical turk

  title={TurKit: human computation algorithms on mechanical turk},
  author={Greg Little and Lydia B. Chilton and Max Goldman and Rob Miller},
Mechanical Turk (MTurk) provides an on-demand source of human computation. This provides a tremendous opportunity to explore algorithms which incorporate human computation as a function call. However, various systems challenges make this difficult in practice, and most uses of MTurk post large numbers of independent tasks. TurKit is a toolkit for prototyping and exploring algorithmic human computation, while maintaining a straight-forward imperative programming style. We present the crash-and… CONTINUE READING
Highly Influential
This paper has highly influenced 22 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 336 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 192 times. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 217 extracted citations

Collecting Data With the Crowd

View 6 Excerpts
Highly Influenced

Dynamic Quality Management for Cloud Labor Services

Lecture Notes in Business Information Processing • 2014
View 17 Excerpts
Highly Influenced

337 Citations

Citations per Year
Semantic Scholar estimates that this publication has 337 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-3 of 3 references

On Decision Making in Tandem Networks by Manal Dia

Manal Dia, John Christopher, Terman, Manal A Dia
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…