Abstract:Self-correction for crowdsourced tasks is a two-stage setting that allows a crowd worker to review the task results of other workers; the worker is then given a chance to update their results according to the review.Self-correction was proposed as a complementary approach to statistical algorithms, in which workers independently perform the same task.It can provide higher-quality results with low additional costs. However, thus far, the effects have only been demonstrated in simulations, and empirical evaluati… Show more
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