Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern?

During the pandemic, dating apps emerged as essential platforms connecting users amid social isolation, experiencing rapid growth in engagement and profile creation. This paper examines the evolution of these apps, highlighting their shift from facilitating offline encounters to promoting match accumulation for revenue. In particular, the study investigates gender disparities, addictive behaviors, and algorithmic match throttling that disproportionately impact men's psychological well-being. Drawing on evidence linking dating app use to increased depression and anxiety, the analysis calls for regulatory intervention to eliminate pay-for-advantage models and ensure fair, healthy user experiences, thereby mitigating adverse public health outcomes. [Abstract copyright: ©Eric Balki. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.04.2025.]

Publication Details

Journal
Lancaster EPrints (Lancaster University)
Published
2025-04-07
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
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article

Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern?

Lancaster EPrints (Lancaster University)
Theoretical and Computational Physics
article

Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern?

article en

Abstract

During the pandemic, dating apps emerged as essential platforms connecting users amid social isolation, experiencing rapid growth in engagement and profile creation. This paper examines the evolution of these apps, highlighting their shift from facilitating offline encounters to promoting match accumulation for revenue. In particular, the study investigates gender disparities, addictive behaviors, and algorithmic match throttling that disproportionately impact men's psychological well-being. Drawing on evidence linking dating app use to increased depression and anxiety, the analysis calls for regulatory intervention to eliminate pay-for-advantage models and ensure fair, healthy user experiences, thereby mitigating adverse public health outcomes. [Abstract copyright: ©Eric Balki. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.04.2025.]

Lancaster EPrints (Lancaster University)
Gender equality
Openalex Percentile: Top 61%
Theoretical and Computational Physics
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