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arXiv:1805.12032cs.CL

Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources

Maria Glenski, Tim Weninger, Svitlana Volkova

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Abstract

In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to better understand how users react to trusted and deceptive news sources across two popular, and very different, social media platforms. To that end, (1) we develop a model to classify user reactions into one of nine types, such as answer, elaboration, and question, etc, and (2) we measure the speed and the type of reaction for trusted and deceptive news sources for 10.8M Twitter posts and 6.2M Reddit comments. We show that there are significant differences in the speed and the type of reactions between trusted and deceptive news sources on Twitter, but far smaller differences on Reddit.

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cs.CLComputation and Language

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  1. Identifying Twitter users who repost unreliable news sources 1 comment

    • The list of trustworthy and untrustworthy sources seems to have been manually compiled in a prior paper. >For that purpose, we use a widely-used and publicly available list of English news media Twitter accounts provided by Volkova et al. (2017) and Glenski, Weninger & Volkova…

      kipchakView on HNParent context

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