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Understanding How Readers Determine the Legitimacy of Online News Articles in the Era of Fake News

机译:了解读者如何在假新闻时代确定在线新闻文章的合法性

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Internet users are routinely exposed to fake news in their social media feeds. The main goal of this paper is to identify the factors readers consider important in discriminating against fake news from true news when reading an online news article. We design and conduct three surveys using Amazon Mechanical Turk to identify the top factors and rate them under diverse scenarios. Our results suggest that people perceive news Source and Content to be the most important factors, in general, to distinguish fake news from true news, however, their importance reduces in practice when people actually read a news article. Furthermore, the importance of different factors in the credibility determination of a news article varies with people's political leanings. Our work is the first of its kind and offers new insights into how people determine the legitimacy of online news articles.
机译:互联网用户在社交媒体饲料中经常接触到假新闻。本文的主要目标是识别读者考虑在阅读在线新闻文章时从真正的新闻歧视虚假新闻的重要因素。我们使用Amazon Mechanical Turk设计并进行三次调查,以确定顶部因素并按各种情况下的速度。我们的结果表明,人们认为新闻来源和内容是最重要的因素,一般来说,将假消息与真正的新闻区分开来,然而,当人们实际阅读新闻文章时,他们的重要性降低了他们的重要性。此外,不同因素在信誉确定新闻文章中的重要性因人们的政治倾向而异。我们的作品是第一个,并为人们如何确定在线新闻文章的合法性提供新的见解。

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