Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study

This study documents a persistently hostile virtual environment for LGBTQIA+ research, where researchers are frequently dehumanized and LGBTQIA+ identities are pathologized. These findings reinforce stigma communication models and suggest a need for institutional responses that include mental health support, enhanced moderation tools, and policy advocacy. Future research should investigate how hostile discourse affects researchers' well-being and recruitment outcomes, and evaluate interventions to foster more respectful engagement with LGBTQIA+ studies.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-08-08
DOI
https://doi.org/10.2196/79080
Citations
1
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
2.48
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article

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study

Brett Peterson, Qimin Liu, Violeta J. Rodriguez, Ashley Benhayoun
1 citations
Journal of Medical Internet Research
Sentiment Analysis and Opinion Mining
2.48
article

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study

Brett Peterson, Qimin Liu, Violeta J. Rodriguez, Ashley Benhayoun
article en
1 citations

Abstract

This study documents a persistently hostile virtual environment for LGBTQIA+ research, where researchers are frequently dehumanized and LGBTQIA+ identities are pathologized. These findings reinforce stigma communication models and suggest a need for institutional responses that include mental health support, enhanced moderation tools, and policy advocacy. Future research should investigate how hostile discourse affects researchers' well-being and recruitment outcomes, and evaluate interventions to foster more respectful engagement with LGBTQIA+ studies.

Journal of Medical Internet ResearchVol. 27
Boston University (US), University of Illinois Urbana-Champaign (US)
Gender equality
Openalex Percentile: Top 9%
Sentiment Analysis and Opinion Mining
2.48
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