Understanding anti-immigration sentiment spreading on Twitter.

Autor: Nasuto A; Department of Geography and Planning, Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom., Rowe F; Department of Geography and Planning, Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Sep 04; Vol. 19 (9), pp. e0307917. Date of Electronic Publication: 2024 Sep 04 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0307917
Abstrakt: Immigration is one of the most salient topics in public debate. Social media heavily influences opinions on immigration, often sparking polarized debates and offline tensions. Studying 220,870 immigration-related tweets in the UK, we assessed the extent of polarization, key content creators and disseminators, and the speed of content dissemination. We identify a high degree of online polarization between pro and anti-immigration communities. We found that the anti-migration community is small but denser and more active than the pro-immigration community with the top 1% of users responsible for over 23% of anti-immigration tweets and 21% of retweets. We also discovered that anti-immigration content spreads also 1.66 times faster than pro-immigration messages and bots have minimal impact on content dissemination. Our findings suggest that identifying and tracking highly active users could curb anti-immigration sentiment, potentially easing social polarization and shaping broader societal attitudes toward migration.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Nasuto, Rowe. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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