Cited by 18Hate Speech and Cyberbullying DetectionDigital Communication and LanguageCultural Differences and Values

Social Norms on Reddit: A Demographic Analysis

De Candia, Sara, De Francisci Morales, Gianmarco, Monti, Corrado, Bonchi, Francesco·2022·14th ACM Web Science Conference 2022

Abstract

Social norms, the shared informal rules of acceptable behavior, drive and reflect the evolution of societies. As an increasingly large part of social interactions happens online, social media data offers an unprecedented opportunity to assess the perception of social norm boundaries in-the-wild. In this regard, Reddit’s r/AITA represents an invaluable source of codified social norms. This subreddit is an online forum where individuals describe how they acted in a specific situation in the past, and ask for the feedback of the community about whether their behavior was deviant or socially acceptable. Other users in the community share their views and express a judgment codified by a tag.

Integrity signals

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Crossref · 10.1145/3501247.3531549

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2 of 2 references verified0 citation errors · 0 not checkable

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Authors
De Candia, S., De Francisci Morales, G., Monti, C., & Bonchi, F.
Affiliations
  • Polytechnic of Turin, Italy
  • Centai, Italy
  • EURECAT Centre Tecnològic de Catalunya (ES)
Venue
14th ACM Web Science Conference 2022
Publisher
ACM
Published
2022-06-26
Pages
139-147
OpenAlex
W4283462840
Cited by
18
References
2
Citations by year
2026: 3 · 2025: 6 · 2024: 7 · 2023: 2
FWCI
2.07
Type
conference paper
Language
en
Open access
closed
Locations
ACM Web Science Conference (WebSci) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
  • Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
Keywords
social norms, Reddit, online forums, social deviance, user demographics, acceptable behavior

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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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