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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: Woah 2021: The 5th Workshop On Online Abuse And Harms Título del capítulo: When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban
Autores UNAM: GUILLERMO DE ANDA JAUREGUI;
Autores externos: Idioma: Año de publicación: 2021Palabras clave:
HATE-SPEECH DETECTION
Resumen:
Community-level bans are a common tool against groups that enable online
harassment and harmful speech. Unfortunately, the efficacy of community
bans has only been partially studied and with mixed results. Here, we
provide a flexible unsupervised methodology to identify in-group
language and track user activity on Reddit both before and after the ban
of a community (subreddit). We use a simple word frequency divergence to
identify uncommon words overrepresented in a given community, not as a
proxy for harmful speech but as a linguistic signature of the community.
We apply our method to 15 banned subreddits, and find that community
response is heterogeneous between subreddits and between users of a
subreddit. Top users were more likely to become less active overall,
while random users often reduced use of in-group language without
decreasing activity. Finally, we find some evidence that the
effectiveness of bans aligns with the content of a community. Users of
dark humor communities were largely unaffected by bans while users of
communities organized around white supremacy and fascism were the most
affected. Altogether, our results show that bans do not affect all
groups or users equally, and pave the way to understanding the effect of
bans across communities.