| Full text | |
| Author(s): |
Kobellarz, Jordan K.
;
Brocic, Milos
;
Graeml, Alexandre R.
;
Silver, Daniel
;
Silva, Thiago H.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | EPJ DATA SCIENCE; v. 11, n. 1, p. 28-pg., 2022-08-13. |
| Abstract | |
Politics in different countries show diverse degrees of polarization, which tends to be stronger on social media, given how easy it became to connect and engage with like-minded individuals on the web. A way of reducing polarization would be by distributing cross-partisan news among individuals with distinct political orientations, i.e., "reaching the bubbles". This study investigates whether this holds in the context of nationwide elections in Brazil and Canada. We collected politics-related tweets shared during the 2018 Brazilian presidential election and the 2019 Canadian federal election. Next, we proposed an updated centrality metric that enables identifying highly central bubble reachers, nodes that can distribute content among users with diverging political opinions-a fundamental metric for the proposed study. After that, we analyzed how users engage with news content shared by bubble reachers, its source, and its topics, considering its political orientation. Among other results, we found that, even though news media disseminate content that interests different sides of the political spectrum, users tend to engage considerably more with content that aligns with their political orientation, regardless of the topic. (AU) | |
| FAPESP's process: | 18/23011-1 - GoodWeb: use of social sensing to improve quality of life in cities and leverage new services |
| Grantee: | Thiago Henrique Silva |
| Support Opportunities: | Regular Research Grants |