Visualizing Media Bias through Twitter

Authors

  • Jisun An University of Cambridge
  • Meeyoung Cha Korea Advanced Institute of Science and Technology
  • Krishna Gummadi Max Planck Institute for Software Systems
  • Jon Crowcroft University of Cambridge
  • Daniele Quercia University of Cambridge

DOI:

https://doi.org/10.1609/icwsm.v6i2.14343

Keywords:

news media, social media, media bias, social network analysis

Abstract

Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media sources along a dimensional dichotomous political spectrum using the co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show that the political dichotomy naturally arises on Twitter when we only consider direct media subscription. Furthermore, we demonstrate a real-time Twitter-based application that visualizes an ideological map of various media sources. 

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Published

2021-08-03

How to Cite

An, J., Cha, M., Gummadi, K., Crowcroft, J., & Quercia, D. (2021). Visualizing Media Bias through Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 6(2), 2-5. https://doi.org/10.1609/icwsm.v6i2.14343

Issue

Vol. 6 No. 2 (2012): ICWSM Workshop Technical Report WS-12-01 (The Potential of Social Media Tools and Data for Journalists in the News Media Industry)

Section

The Potential of Social Media Tools and Data for Journalists