Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2011

Abstract

We present a preliminary but groundbreaking study of the media landscape of Twitter. We use public data on whom follows who to uncover common behaviour in media consumption, the relationship between various classes of media, and the diversity of media content which social links may bring. Our analysis shows that there is a non-negligible amount of indirect media exposure, either through friends who follow particular media sources, or via retweeted messages. We show that the indirect media exposure expands the political diversity of news to which users are exposed to a surprising extent, increasing the range by between 60-98%. These results are valuable because they have not been readily available to traditional media, and they can help predict how we will read news, and how publishers will interact with us in the future.

Keywords

Social Media, Social media landscape, Journalism

Discipline

Journalism Studies | Social Media

Research Areas

Data Science and Engineering

Publication

Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain, July 17-21, 2011

First Page

18

Last Page

25

Publisher

Association for the Advancement of Artificial Intelligence

City or Country

California, USA

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