Evaluating the fake news problem at the scale of the information ecosystem.
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TL;DR: The results suggest that the origins of public misinformedness and polarization are more likely to lie in the content of ordinary news or the avoidance of news altogether as they are in overt fakery.
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Abstract: “Fake news,” broadly defined as false or misleading information masquerading as legitimate news, is frequently asserted to be pervasive online with serious consequences for democracy. Using a unique multimode dataset that comprises a nationally representative sample of mobile, desktop, and television consumption, we refute this conventional wisdom on three levels. First, news consumption of any sort is heavily outweighed by other forms of media consumption, comprising at most 14.2% of Americans’ daily media diets. Second, to the extent that Americans do consume news, it is overwhelmingly from television, which accounts for roughly five times as much as news consumption as online. Third, fake news comprises only 0.15% of Americans’ daily media diet. Our results suggest that the origins of public misinformedness and polarization are more likely to lie in the content of ordinary news or the avoidance of news altogether as they are in overt fakery.
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References
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TL;DR: In choosing and displaying news, editors, newsroom staff, and broadcasters play an important part in shaping political reality as mentioned in this paper, and readers learn not only about a given issue, but also how much importance to attach to that issue from the amount of information in a news story and its position.
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Hunt Allcott,Matthew Gentzkow +1 more
TL;DR: The authors found that people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks, and that the average American adult saw on the order of one or perhaps several fake news stories in the months around the 2016 U.S. presidential election, with just over half of those who recalled seeing them believing them.
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TL;DR: The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age as discussed by the authors. But much remains unknown regarding the vulnerabilities of individuals, institutions, and society to manipulations by malicious actors.
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Fake News Detection on Social Media: A Data Mining Perspective
TL;DR: Wang et al. as discussed by the authors presented a comprehensive review of detecting fake news on social media, including fake news characterizations on psychology and social theories, existing algorithms from a data mining perspective, evaluation metrics and representative datasets.
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