Hundreds of academic papers are published each year using data collected through Mechanical Turk. Researchers have gravitated to Mechanical Turk primarily because it provides high quality data quickly and affordably. However, Mechanical Turk has strengths and weaknesses as a platform for data collection. While Mechanical Turk has revolutionized data collection, it is by no means a perfect platform. Some of the major strengths and limitations of MTurk are summarized below.
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Requesters may observe that some workers, even those with high Approval ratings, may not perform to their expectations on a study. Sometimes this may result in rejecting their work which affects the Worker approval rating. But, often the work is not acceptable for research but is not worthy of rejection, or, it may simply be the policy of the research lab to approve all assignments for IRB or some ethical standard they may follow.
You can now run your Amazon Mechanical Turk studies at Hyper speeds. We worked hard to make the experience identical to our classic MicroBatch option so that you simply launch your study and TurkPrime does all the heavy lifting for you.
How can a Requester who rejected an assignment in error undo his mistake? A rejected assignment affects the Worker negatively and will often impact the Requester with negative feedback which can damage the Requester's online reputation which lowers Worker participation in future HITs. What can a Requester do to reverse the rejection?
Suppose you need to run a group of HITs open only to participants who are women under 50. You previously ran a HIT and know the Worker IDs that you want to reach, but have no way to email them and limit your survey to only them. How can you proceed?
Amazon just announced that their Worker Qualification now supports US State locations. It is currently available through their API and is also available through their Web Interface.