Toxic language based echo chambers on the Incels.net community: A network analysis approach

This study examines interaction patterns on the web forum Incels.net through Social Network Analysis, focusing on the formation of echo chambers characterized by toxic language. We explore several hypotheses: (H2) users tend to engage in animated one-to-one interactions by quoting each other; (H4) frequent posters are less likely to be quoted by less active users, indicating a lack of clear leadership; and (H5) users sharing the same sentiment are more likely to participate in large discussions (echo chambers) but do not engage in one-to-one conversations. Our findings enhance the understanding of behaviors that may contribute to radicalization within fringe online communities and offer insights for future research into similar extreme hate forums.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825922
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.28
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article

Toxic language based echo chambers on the Incels.net community: A network analysis approach

Claudia Zucca, Alfredo Cuzzocrea, Giuseppe Cascavilla, Meriam Janssen
1 citations
Complex Network Analysis Techniques
0.28
article

Toxic language based echo chambers on the Incels.net community: A network analysis approach

Claudia Zucca, Alfredo Cuzzocrea, Giuseppe Cascavilla, Meriam Janssen
article en
1 citations

Abstract

This study examines interaction patterns on the web forum Incels.net through Social Network Analysis, focusing on the formation of echo chambers characterized by toxic language. We explore several hypotheses: (H2) users tend to engage in animated one-to-one interactions by quoting each other; (H4) frequent posters are less likely to be quoted by less active users, indicating a lack of clear leadership; and (H5) users sharing the same sentiment are more likely to participate in large discussions (echo chambers) but do not engage in one-to-one conversations. Our findings enhance the understanding of behaviors that may contribute to radicalization within fringe online communities and offer insights for future research into similar extreme hate forums.

Tilburg University (NL), University of Calabria (IT)
Quality Education
Openalex Percentile: Top 41%
Complex Network Analysis Techniques
0.28
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