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

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 Twitt...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2023-03, Vol.13 (1), p.3809-3809, Article 3809
Main Authors: Schawe, Hendrik, Beiró, Mariano G., Alvarez-Hamelin, J. Ignacio, Kotzinos, Dimitris, Hernández, Laura
Format: Article
Language:English
Subjects:
639/705/1042
639/705/1046
639/766/259
639/766/530
Communication
Computer Science
COVID-19
Election results
Humanities and Social Sciences
Humans
Metadata
multidisciplinary
Newspapers as Topic
Nonlinear Sciences
Pandemics
Presidential elections
Science
Science (multidisciplinary)
Social Media
Social networks
Statistics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 elections by the journal and by its followers, and show that the topic related to the “Black Lives Matter” movement started in Twitter, and was addressed later by the journal.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-30367-8