Spammer Detection Based on Task Completion Time Variation in Crowdsourcing
by Ayato Watanabe, Keishi Tajima
Abstract
Many existing spammer detection methods uses dependency between
workers' answers and the true answers. These methods may regard a
diligent but low-skilled worker as a spammer. Our method uses
correlation between workers' task completion time and the difficulty
of the tasks. Our experimental result suggests that this approach is
potentially useful, but the selection of tasks seems a key for
success.