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Maksym Gabielkov, Arthi Ramachandran, A. Chaintreau, A. Legout (2016)
Social Clicks: What and Who Gets Read on Twitter?Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science
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PurposeThe purpose of this paper is to illustrate that the current efforts to combat the epidemic of fake news – compiling lists of fake news sites, flagging stories as having been disputed as “fake,” downloading plug-ins to detect fake news – show a fundamental misunderstanding of the issue.Design/methodology/approachThis paper explores the plummeting believability ratings in conventional news outlets, as well as current efforts to combat fake news. These concepts are situated in the post-truth era, in which news is upsold on the notion of belief and opinion.FindingsThis paper finds that, in combination with a general mistrust of all news, a fundamental flaw in the system of clicks-as-reward allows fake news and other clickbait to gain unobstructed virality.Originality/valueFake news is a widely discussed topic right now. As this is primarily an issue of information literacy, library and information professionals need to understand, discuss, and address this issue as one that is directly related to the profession.
Library Hi Tech – Emerald Publishing
Published: Sep 18, 2017
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