研究报告:在加密平台上发现错误信息的方法:以WhatsApp上2019年印度大选为例研究

Ashkan Kazemi, Kiran Garimella, Gautam Kishore Shahi, Devin Gaffney, Scott A. Hale
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引用次数: 7

摘要

目前还没有简单的方法可以大规模发现WhatsApp和其他端到端加密平台上可能存在问题的内容。在本文中,我们分析了用户可以提交他们想要核实事实的内容(“提示”)的众包tipline的有用性。我们将2019年印度大选期间发送到WhatsApp热线的提示与同期在WhatsApp和其他社交媒体平台上的大型公共群组中传播的信息进行了比较。我们发现,tipline是观察WhatsApp对话的一个非常有用的视角:发往tipline的信息和图片中,有很大一部分与WhatsApp公共群组和其他社交媒体上分享的内容相匹配。我们的分析还显示,标题栏很好地覆盖了最受欢迎的内容,其中大部分内容在出现在大型公开的WhatsApp群之前,通常会被分享到标题栏。总的来说,我们的研究结果表明,文章可以成为发现潜在误导性内容的有效来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research note: Tiplines to uncover misinformation on encrypted platforms: A case study of the 2019 Indian general election on WhatsApp
There is currently no easy way to discover potentially problematic content on WhatsApp and other end-to-end encrypted platforms at scale. In this paper, we analyze the usefulness of a crowd-sourced tipline through which users can submit content (“tips”) that they want fact-checked. We compared the tips sent to a WhatsApp tipline run during the 2019 Indian general election with the messages circulating in large, public groups on WhatsApp and other social media platforms during the same period. We found that tiplines are a very useful lens into WhatsApp conversations: a significant fraction of messages and images sent to the tipline match with the content being shared on public WhatsApp groups and other social media. Our analysis also shows that tiplines cover the most popular content well, and a majority of such content is often shared to the tipline before appearing in large, public WhatsApp groups. Overall, our findings suggest tiplines can be an effective source for discovering potentially misleading content.
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来源期刊
CiteScore
20.70
自引率
0.00%
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审稿时长
10 weeks
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