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HIV Conspiracy Beliefs Among Black LGBQ+ People

The Roles of Public Health Sources, Social Media, Algorithmic Assistants, and Religious Leaders

Bibliographic Data

ID21616814
AuthorsGyo Hyun Koo (0000-0002-3188-4588, Howard University, corresponding author), Soojeong Kim (0000-0001-5829-7298, The University of Texas at Austin), Zhi Lin (0000-0003-3398-4774, The University of Texas at Austin), Thomas J Johnson (0000-0002-0028-4248, The University of Texas at Austin), Sungwon Jung (0009-0002-7401-1194, The University of Texas at Austin), Salih Hürdoğan (0009-0000-4417-0720, The University of Texas at Austin)
Year2025
Volume40
Issue12
Pages2730-2744
Publication date2025-10-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHealth Communication (JOURNAL)
Journal identifiersISSN: 1041-0236 • E-ISSN: 1532-7027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10410236.2025.2479636
PMID40212026
OpenAlexW4409370194
LanguageEN
Citations received1
References cited109

As Human Immunodeficiency Virus (HIV) disproportionately affects racial and gender minorities in the U.S., this study investigates the role of intersecting identities – specifically being Black and LGBQ+ – along with the sociocultural and communicative factors intertwined with these identities in shaping beliefs in HIV conspiracy theories. An online survey (N = 1,505) shows that Black LGBQ+ people display higher levels of HIV conspiracy beliefs than their non-Black heterosexual peers. Low trust in public health sources and high reliance on social media, algorithmic assistants (e.g. Alexa and ChatGPT), and religious leaders predicted greater conspiracy beliefs. The positive relationship between reliance on social media and HIV conspiracy beliefs was weakened for those who identify as Black LGBQ+. Our findings highlight the importance of targeted health communication in the HIV context and offer actionable solutions to address health disparities

Family medicine · Public health · Social media · Sociology · World Wide Web · Adolescent Sexual and Reproductive Health · Computer Science · Gender Studies · Hate Speech and Cyberbullying Detection · Medicine · Nursing · Psychology · Social Psychology · Vaccine Coverage and Hesitancy

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1
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