Cascading dynamics of hate speech propagation: Unveiling network structures and probability of retweeting on Twitter
Open accessAbstract
The ubiquity of social media has transformed communication patterns and interactions in contemporary society, allowing individuals to share experiences, thoughts, and opinions on a global scale. However, this unprecedented connectivity has also facilitated the dissemination of hate speech, posing novel challenges for platforms, policymakers, and researchers. This study delves into the dynamics of hate speech diffusion within social media networks, focusing on Twitter as a case study. Through an extensive analysis of retweet behaviors among a subset of hateful users, we investigate the intricate network structures and characteristics that underlie the spread of harmful content. By analyzing network metrics and degree distributions and comparing them with model approximations, we reveal insights into the polarized nature of hate speech propagation, the role of strongly connected components, and the influence of a select few users. The findings highlight the potential for viral spread within closely connected groups and emphasize the need for nuanced approaches to curbing hate speech. Moreover, this study contributes to the broader understanding of information dissemination on social media, paving the way for informed strategies to foster a more responsible and inclusive digital discourse.
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La estructura de las redes de odio puede mostrar una polarización significativa: algunos usuarios están estrechamente conectados dentro de subgrupos densos, mientras que otros permanecen aislados de la red principal.
“Chen (2024) destaca que la estructura de estas redes puede mostrar una polarización significativa: algunos usuarios están estrechamente conectados dentro de subgrupos densos, mientras que otros permanecen aislados de la red principal.”
From Redes de odio y contranarrativas en Twitter sobre el ataque a iglesias católicas en Algeciras: Dinámicas de conectividad, influencia y polarización (2026) · cites this paper as Chen (2024)
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Rebollo Diaz, C. (2026) · Redes. Revista hispana para el análisis de redes sociales · doi:10.5565/rev/redes.1130
- Authors
- Chen, Y.
- Affiliations
- Paloma West Midtown
- Corresponding author
- Chen, Yueqiao
- ORCID
- Chen, Yueqiao
- Venue
- Applied and Computational Engineering
- Publisher
- EWA Publishing
- Published
- 2024-07-05
- Volume
- 73
- Issue
- 1
- Pages
- 100-110
- ISSN
- 2755-2721 (ISSN-L)
- 2755-273X
- OpenAlex
- W4400368524
- Cited by
- 4
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Applied and Computational Engineering (publishedVersion, cc-by)
- Funders
- Massachusetts Institute of Technology
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- hate speech, information dissemination, retweets, Twitter, social network structure, degree distribution, strongly connected components, influential users, polarization, viral spread
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