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On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments

ACM TRANSACTIONS ON INFORMATION SYSTEMS(2024)

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Abstract
Misinformation has been rapidly spreading online. The common approach to dealing with it is deploying expert fact-checkers who follow forensic processes to identify the veracity of statements. Unfortunately, such an approach does not scale well. To deal with this, crowdsourcing has been looked at as an opportunity to complement the work done by trained journalists. In this article, we look at the effect of presenting the crowd with evidence from others while judging the veracity of statements. We implement variants of the judgment task design to understand whether and how the presented evidence may or may not affect the way crowd workers judge truthfulness and their performance. Our results show that, in certain cases, the presented evidence and the way in which it is presented may mislead crowd workers who would otherwise be more accurate if judging independently from others. Those who make appropriate use of the provided evidence, however, can benefit from it and generate better judgments.
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Key words
Misinformation,crowdsourcing,metadata,information credibility
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要点】:本文探讨了在众包真实性评估中展示他人证据对评估结果的影响,发现证据展示可能会误导众包工作者,但合理使用证据能提高评估准确性。

方法】:通过实施不同设计的判断任务变体,分析证据展示对众包工作者判断真实性的影响。

实验】:实验使用众包平台,通过不同条件下的判断任务设计,研究了证据展示的效果,结果显示证据展示有时会误导评估,但合理利用证据可以提高判断质量。