Analyzing the relationship between relevance and extremist discourse in an alt-right network on Twitter
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Network relevance is associated with extremist content, highlighting the role of user connections in spreading radical ideologies.
“Similarly, Torregrosa et al. [6] observed that network relevance is associated with extremist content, highlighting the role of user connections in spreading radical ideologies.”
From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [6]
Centrality measures identify influential nodes, such as disseminators (high closeness centrality) or bridges (high betweenness centrality), offering insights into individual roles within echo chambers.
“Centrality measures identify influential nodes, such as disseminators (high closeness centrality) or bridges (high betweenness centrality), offering insights into individual roles within echo chambers [6,111].”
From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [6]
Cites
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · cited 3× · see citing works
“In social networks, there is a type of users who can guide the direction of public opinion and have the ability to propagate information and spread trends in a short time (Cha et al. 2010).”
BackgroundSocial big data: recent achievements and new challenges
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016) · Information Fusion · doi:10.1016/j.inffus.2015.08.005 · Cited by 846 · see citing works
Self-citationWhat Do Retweets Indicate? Results from User Survey and Meta-Review of Research
Metaxas, P., Mustafaraj, E., Wong, K., Zeng, L., O'Keefe, M., & Finn, S. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v9i1.14661 · Cited by 162 · see citing works
Zhang, Y., Wells, C., Wang, S., & Rohe, K. (2018) · New Media & Society · doi:10.1177/1461444817744390 · Cited by 155 · see citing works
A Psychological Profile of the Alt-Right
Forscher, P. S., & Kteily, N. S. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691619868208 · Cited by 110 · see citing works
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Hartmann, D., Wang, S. M., Pohlmann, L., & Berendt, B. (2025) · Journal of Computational Social Science · doi:10.1007/s42001-025-00381-z · Cited by 59 · see citing works
- Authors
- Torregrosa, J., Panizo-Lledot, Á., Bello-Orgaz, G., & Camacho, D.
- Affiliations
- Universidad Politécnica de Madrid (ES)
- Corresponding author
- Camacho, David
- Venue
- Social Network Analysis and Mining
- Published
- 2020-08-13
- Volume
- 10
- Issue
- 1
- ISSN
- 1869-5450 (ISSN-L)
- 1869-5469
- OpenAlex
- W3049744266
- Cited by
- 25
- References
- 5
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2023: 4 · 2022: 8 · 2021: 3
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Network Analysis and Mining (publishedVersion)
- Funders
- Comunidad de Madrid (S2018/TCS-4566)
- MINECO (TIN2017-85727-C4-3-P)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › Populism, Right-Wing Movements
- Keywords
- alt-right, extremist discourse, user relevance, network centrality, echo chambers, retweets, hate speech, LIWC, VADER, Twitter
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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