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Information Consumption on Social Media: Efficiency, Trust, and Divisiveness

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A growing number of people rely on social media platforms, such as Twitter and Facebook, for their news and information needs, where users themselves play a role in selecting the sources from which they consume information, overthrowing traditional journalistic gatekeeping. Since users can just select their information sources, they don’t have full control on the content they receive. Moreover, it is very hard to ascertain the quality, relevance, and credibility of information produced by social media users, raising interesting questions like: (i) how efficient are the users at selecting their information sources? (ii) how do the users perceive the truthfulness of information? and (iii) how does the consumed information impact the users and the society?

We analyze social media users’ information consumption along the three dimensions of efficiency, trust, and divisiveness, which I briefly describe in the talk.

This talk is part of the Machine Learning @ CUED series.

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