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Understanding anti-immigration sentiment spreading on Twitter
Andrea Nasuto1, Francisco Rowe1
1Department of Geography and Planning, Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom.
Plos One
|September 4, 2024
Summary
Online polarization on immigration is high. Anti-immigration content on social media spreads faster and is driven by a small, active group, suggesting targeted interventions could reduce sentiment.
Area of Science:
- Social Sciences
- Computational Social Science
- Media Studies
Background:
- Public discourse on immigration is highly polarized, with social media significantly shaping public opinion and potentially fueling offline tensions.
- Understanding the dynamics of online discussions is crucial for addressing societal divisions related to migration.
Purpose of the Study:
- To analyze the extent of polarization in UK immigration-related tweets.
- To identify key creators and disseminators of immigration content on social media.
- To assess the speed of content dissemination within different immigration communities.
Main Methods:
- Analysis of 220,870 immigration-related tweets from the UK.
- Quantitative assessment of online polarization, user activity, and content spread.
- Identification of influential users and communities within the discourse.
Main Results:
- Significant online polarization exists between pro- and anti-immigration communities.
- The anti-migration community is smaller but more active and dense, with a small percentage of users driving a large proportion of content.
- Anti-immigration content disseminates 1.66 times faster than pro-immigration content, with minimal bot influence.
Conclusions:
- Targeting and monitoring highly active users in anti-immigration communities may effectively curb sentiment.
- Interventions focused on influential users could help mitigate social polarization and shape public attitudes toward migration.
- The study highlights the critical role of social media in shaping contemporary immigration debates.
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