English

Exposing Hate -- Understanding Anti-Immigration Sentiment Spreading on Twitter

Social and Information Networks 2024-01-15 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2401.06658,
  title  = {Exposing Hate -- Understanding Anti-Immigration Sentiment Spreading on Twitter},
  author = {Andrea Nasuto and Francisco Rowe},
  journal= {arXiv preprint arXiv:2401.06658},
  year   = {2024}
}
R2 v1 2026-06-28T14:15:22.852Z