Problem
Research questions and friction points this paper is trying to address.
deception
gay dating apps
trust
safety
sexual minority
"Everyone Says Them": Deception Typologies, Probabilistic Trust, and Grassroots Safety Knowledge Among Gay Dating App Users in China
🤖 AI Summary
This study investigates the diverse forms of deception experienced by Chinese gay men on dating applications such as Blued and Aloha, addressing a critical gap in HCI and CSCW research concerning high-risk interactions within sexual minority communities. Through semi-structured interviews with 22 users and subsequent thematic analysis, the work proposes a typology of deception encompassing relational, emotional, financial, and commercial dimensions. It reveals how users employ a probabilistic trust mechanism grounded in multiple contextual signals and demonstrates that risk perception functions as a communal, collaborative practice. Furthermore, the research identifies an emergent, bottom-up model of safety-related knowledge production among users, offering both theoretical grounding and actionable design implications for fostering safer social platforms tailored to sexual minorities.
📝 Abstract
Gay dating applications have become critical platforms for sexual minority men to seek relationships and community, yet they also expose users to deceptive interactions that remain underexplored in HCI and CSCW research. This study examines how gay male users in China experience, identify, and respond to deception on dating applications. Through semi-structured interviews with 22 participants across platforms including Blued, Aloha, Fanka, and Soul, we make three contributions. First, we identify a typology of deceptive practices extending beyond profile misrepresentation to encompass relational, emotional, financial, and commercial forms of deception. Second, we document the layered, probabilistic verification strategies users develop through long-term platform use, showing that trust assessment operates as a multi-signal, provisional process rather than a binary judgment. Third, we demonstrate that risk recognition is a collaborative practice shaped by the circulation of experience, the abstraction of recurrent tactics, and the codification of shared rules within the community.
Innovation
Methods, ideas, or system contributions that make the work stand out.
deception typology
probabilistic trust
grassroots safety knowledge
collaborative risk recognition
gay dating apps
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