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Dataset Information

Understanding who talks about what: comparison between the information treatment in traditional media and online discussions.


ABSTRACT: We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential electi

SUBMITTER: Schawe H 

PROVIDER: S-EPMC9990029 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature