The document outlines the functionality and advantages of Amazon Mechanical Turk (MTurk), a crowdsourcing platform where requesters pay workers to complete Human Intelligence Tasks (HITs). It provides guidance on designing effective HITs, ensuring quality, and managing payments, including policies on worker qualifications and tax implications. Additionally, it highlights the ease of conducting behavioral research using this platform and references various resources for further information.

1. Introduction and Applications

2. TopicsOverview

3. Designing HITs

4. Controlling for quality

5. Fine print

6. Research with AMT

7. Resources TopicsOverview

8. Designing HITs

9. Controlling for quality

10. Fine print

11. Research with AMT

12. Resources What’s it?Amazon Mechanical Turk is a crowdsourcing Internet marketplace that enables computer programmers (Requesters) to coordinate the use of human intelligence to perform tasks which computers are unable to do.

13. https://www.mturk.com/

14. Workers get paid to answer stuff.

15. Requesters pay to ask stuff.

16. Why use it?Advantages of Mechanical Turk*:low cost ($0.10 per 60-second task)

17. subject pool size

18. subject pool diversity

19. faster theory/experiment cycle* Mason, W. and Siddarth, S. 2009. “Conducting Behavioral Research on Amazon’s Mechanical Turk.” Yahoo! Research.

20. TopicsOverview

21. Designing HITs

22. Quality assurance

23. Fine print

24. Research with AMT

25. Resources Human Intelligence Tasks (HITs)Requesters can specify: task