Hyperpartisanship, Disinformation and Political Conversations on Twitter: The Brazilian Presidential Election of 2018

  • Raquel Recuero Universidade Federal de Pelotas (UFPel)
  • Felipe Bonow Soares Universidade Federal do Rio Grande do Sul (UFRGS)
  • Anatoliy Gruzd Ryerson University

Abstract

This paper examines the role of hyperpartisanship and polarization on Twitter during the 2018 Brazilian Presidential Election. Based on a mixed-methods approach, we collected and analyzed a dataset of over 8 million tweets about Jair Bolsonaro, a far-right candidate from the Social Liberty Party. Our results show that there is a strong connection between polarization, hyperpartisanship and disinformation. As the centrality of hyperpartisan outlets on Twitter grew, more traditional media outlets became less central and conversations became more polarized. We also confirmed that hyperpartisan outlets often shared disinformation or biased information, presented as a “truth-telling” alternative to journalistic outlets. And while disinformation was more frequently observed in the far-right group, it was also present in the anti-Bolsonaro cluster, especially towards the runoff period.

Published
2020-05-26
How to Cite
Recuero, R., Soares, F. B., & Gruzd, A. (2020). Hyperpartisanship, Disinformation and Political Conversations on Twitter: The Brazilian Presidential Election of 2018. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 569-578. Retrieved from https://aaai.org/ojs/index.php/ICWSM/article/view/7324