Detecting Fake News: Two Problems for Content Moderation.
Detecting Fake News: Two Problems for Content Moderation.
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DOI：
10.1007/s13347-021-00442-x
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发表时间：
2021
影响因子：
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通讯作者：
Stewart E
中科院分区：
文献类型：
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作者：
Stewart E
网上假新闻的传播对线下人们的生活产生了深远的影响。要求内容分享平台干预和缓解假新闻传播的压力越来越大，但干预引发了对有偏见的审查制度的指责。公平审查和审查之间的紧张关系突显了在将在线内容标记为虚假或合法时出现的两个相关问题：第一，什么样的内容算问题，应该标记它；第二，在实践和理论上，以一种公正的方式收集和标记此类内容的实例是否可能？在这篇文章中，我认为回答任何一个问题都涉及做出价值判断，这可能会导致用户对事实核查工作产生不信任。
The spread of fake news online has far reaching implications for the lives of people offline. There is increasing pressure for content sharing platforms to intervene and mitigate the spread of fake news, but intervention spawns accusations of biased censorship. The tension between fair moderation and censorship highlights two related problems that arise in flagging online content as fake or legitimate: firstly, what kind of content counts as a problem such that it should be flagged, and secondly, is it practically and theoretically possible to gather and label instances of such content in an unbiased manner? In this paper, I argue that answering either question involves making value judgements that can generate user distrust toward fact checking efforts.