The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Drawing from justice theories to support targets of online harassment
Abstract
Most content moderation approaches in the United States rely on criminal justice models that sanction offenders via content removal or user bans. However, these models write the online harassment targets out of the justice-seeking process. Via an online survey with US participants ( N = 573), this research draws from justice theories to investigate approaches for supporting targets of online harassment. We uncover preferences for banning offenders, removing content, and apologies, but aversion to mediation and adjusting targets’ audiences. Preferences vary by identities (e.g. transgender participants on average find more exposure to be undesirable; American Indian or Alaska Native participants on average find payment to be unfair) and by social media behaviors (e.g. Instagram users report payment as just and fair). Our results suggest that a one-size-fits-all approach will fail some users while privileging others. We propose a broader theoretical and empirical landscape for supporting online harassment targets.
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Trans contributors have faced bigotry, harassment, and backlash in online and offline spaces.
“Despite the bigotry, harassment, and backlash trans contributors have faced in online and offline spaces [53, 70, 90], their participation has been formative”
From Paradoxes of Openness: Trans Experiences in Open Source Software (2024) · cites this paper as [90]
The Introduction discusses harassment of protected groups on social media, and ‘The limitations of one-size-fits-all approaches’ says disclosure of a transgender person’s identity may increase vulnerability to violence and discrimination. The paper does not establish that trans contributors specifically faced backlash in both online and offline spaces; its statement about violence and discrimination is framed as a possibility, not a reported experience. (LLM, conf=0.82)
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Cites
Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color
Crenshaw, K. (1991) · Stanford Law Review · doi:10.2307/1229039 · Cited by 32,792
Gillespie, T. (2010) · New Media & Society · doi:10.1177/1461444809342738 · Cited by 2,522 · cited 2×
“Social media sites want to present themselves as neutral arbiters of online content (Gillespie, 2010); however, arbitration procedures can differentially impact social media users based on their individual identities and experiences.”
BackgroundD'Ignazio, C., & Klein, L. F. (2020) · doi:10.7551/mitpress/11805.001.0001 · Cited by 1,738
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Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse
Hoffmann, A. L. (2019) · Information, Communication & Society · doi:10.1080/1369118x.2019.1573912 · Cited by 535 · cited 1×
“Hoffmann (2019) argues that the concept of fairness falsely attributes harm to individuals instead of systemic and contextual problems.”
BackgroundBehind the Screen: Content Moderation in the Shadows of Social Media
ROBERTS, S. T. (2019) · Yale University Press · doi:10.2307/j.ctvhrcz0v · Cited by 339
Classification and Its Consequences for Online Harassment: Design Insights from HeartMob
Blackwell, L., Dimond, J., Schoenebeck, S., & Lampe, C. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134659 · Cited by 245
Self-citationThe Civic Labor of Volunteer Moderators Online
Matias, J. N. (2019) · Social Media + Society · doi:10.1177/2056305119836778 · Cited by 183
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Chandrasekharan, E., Gandhi, C., Mustelier, M. W., & Gilbert, E. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359276 · Cited by 151 · cited 1×
“Volunteer moderation is often buttressed by automated bots or systems (e.g. Chandrasekharan et al., 2019) that support moderation demands at scale.”
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Cited by
Sorted by citations
Ma, R., & Kou, Y. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479573 · Cited by 102
Understanding international perceptions of the severity of harmful content online
Jiang, J. A., Scheuerman, M. K., Fiesler, C., & Brubaker, J. R. (2021) · PLOS ONE · doi:10.1371/journal.pone.0256762 · Cited by 69
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
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Metadata
- Authors
- Schoenebeck, S., Haimson, O. L., & Nakamura, L.
- Affiliations
- University of Michigan, USA
- ORCID
- Schoenebeck, Sarita
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2020-03-25
- Volume
- 23
- Issue
- 5
- Pages
- 1278-1300
- ISSN
- 1461-4448
- 1461-7315
- Cited by
- 84
- References
- 9
- Language
- en
- Funders
- Division of Information and Intelligent Systems (1552503, 1763297)
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