Misogynistic targeting of women in power predicts broader online harassment patterns

Jennifer Golbeck ()
Additional contact information
Jennifer Golbeck: University of Maryland

Computational and Mathematical Organization Theory, 2025, vol. 31, issue 2, No 2, 109-119

Abstract: Abstract Online harassment is a well-documented and studied problem on social media. Who does this harassing, how, and to what degree are important questions that can inform platform policies and automated controls as well as helping understand harassers more broadly. This study investigates users who were discovered because they created a post that harassed a women in power using misogynistic slurs. Do these tend to be isolated incidents, or do such users engage in higher rates of harassment more generally? Findings from Twitter, Parler, and Reddit suggest that this population uses offensive slurs at several times the rate of control groups. We break down these findings and discuss the implications for moderation, automation, user well-being, and platform success.

Keywords: Misogyny; Online harassment; Social media (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10588-024-09387-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:comaot:v:31:y:2025:i:2:d:10.1007_s10588-024-09387-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-024-09387-w

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().