A Preliminary Study of the Number of Votes under Majority Rule in Crowdsourcing

We focus on the majority rule in crowdsourcing in this paper. One of the problems that concern crowdsourcing is how to reduce the number of votes for reducing the necessary cost and latency in obtaining results. In this paper, we attempt to reduce the number of votes while we obtain almost the same results with full votes. To accomplish this goal, we record the percentage of correct answers that each human worker provided. We report a preliminary study of making use of the records for reducing the number of votes with synthetic data and workers, and we discuss future directions.