Conference proceeding
Understanding Social Media Disclosures of Sexual Abuse Through the Lenses of Support Seeking and Anonymity
34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, pp 3906-3918
01 Jan 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Support seeking in stigmatized contexts is useful when the discloser receives the desired response, but it also entails social risks. Thus, people do not always disclose or seek support when they need it. One such stigmatized context for support seeking is sexual abuse. In this paper, we use mixed methods to understand abuse-related posts on reddit. First, we take a qualitative approach to understand post content. Then we use quantitative methods to investigate the use of "throwaway" accounts, which provide greater anonymity, and report on factors associated with support seeking and first-time disclosures. In addition to significant linguistic differences between throwaway and identified accounts, we find that those using throwaway accounts are significantly more likely to engage in seeking support. We also find that men are significantly more likely to use throwaway accounts when posting about sexual abuse. Results suggest that subreddit moderators and members who wish to provide support pay attention to throwaway accounts, and we discuss the importance of context-specific anonymity in support seeking.
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Details
- Title
- Understanding Social Media Disclosures of Sexual Abuse Through the Lenses of Support Seeking and Anonymity
- Creators
- Nazanin Andalibi - Drexel UniversityOliver L. Haimson - University of California, IrvineMunmun De Choudhury - Georgia Institute of TechnologyAndrea Forte - Drexel UniversityACM
- Publication Details
- 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, pp 3906-3918
- Conference
- 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, 34th
- Publisher
- Assoc Computing Machinery
- Number of pages
- 13
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000380532903084
- Scopus ID
- 2-s2.0-84974832479
- Other Identifier
- 991019169804904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Computer Science, Theory & Methods