Skip to content
#human-computer interaction Preprint Open access

"You Already Have Me--Why Do You Still Use Blued?" How Gay Dating Apps Shape Intimate Relationships Among Chinese Gay Men

Yibo Meng Lyumanshan Ye Bingyi Liu Linghao Li Huidi Lu Xiaolan Ding
Oct 2026
Human-computer Interaction

Abstract

Gay dating applications such as Blued are widely used for meeting partners, yet their role does not end once an intimate relationship is formed. When these platforms persist within an established relationship, they transform from matchmaking tools into a form of relational infrastructure that both partners must continuously manage. Building on existing CSCW and HCI research that has primarily examined how social media triggers jealousy, surveillance, or trust issues in intimate relationships, this study investigates how the persistent presence of gay dating applications shapes the dynamics of intimate relationships among Chinese gay men. Through semi-structured interviews with 23 self-identified gay men aged 19 to 55, we identify a recurring cyclical process: platform signals-such as online status, profile updates, distance indicators, and usage records-trigger suspicion and conflict; partners invest negotiation labor through intent explanation, visibility control, rule formation, or silence; and these negotiations eventually sediment into temporary governance settlements that reduce trigger frequency but remain conditionally stable. We identify four types of governance settlements: infrastructure removal, transparency governance, silence agreements, and layered/open agreements. Each settlement addresses the governance problems of platform presence, visibility distribution, and loyalty boundaries differently, yet none achieves permanent stability due to platforms' reversible entry mechanisms and continuous visibility cues. Our findings extend existing CSCW research on digital technology and intimate relationships by revealing a more complex process than previously documented: platform signals not only trigger emotional responses but prompt partners to engage in sustained relational negotiation through explanation, visibility management, rule formation, or silence.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.