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Online dating: predictors of problematic tinder use
Germano Vera Cruz1, Elias Aboujaoude2,3, Lucien Rochat4
1Department of Psychology, CRP-CPO, University of Picardie Jules Verne, Amiens, UR, 7273, France. germano.vera.cruz@u-picardie.fr.
BMC Psychology
|February 29, 2024
Summary
This study found that using Tinder for emotional coping, social connection, and to reduce boredom predicts problematic use. Factors like matches and dates also contribute to addictive potential in dating apps.
Area of Science:
- Psychology
- Sociology
- Digital Media Studies
Background:
- Geolocation dating apps have reshaped social interactions and dating behaviors globally.
- Limited research exists on the addictive potential and misuse factors of these popular dating applications.
Purpose of the Study:
- To assess the prevalence of problematic Tinder use (PTU) in adults.
- To identify key predictors of PTU using machine learning analysis of 29 variables.
Main Methods:
- A machine learning algorithm analyzed data from 1,387 Tinder users (ages 18-74).
- Participants completed an online questionnaire detailing their app usage and psychological factors.
Main Results:
- The average PTU score was 1.91 (SD=0.70), indicating low overall problematic use.
- Key predictors of PTU included using Tinder for enhancement, coping, and social connection.
- Number of matches, online contacts, and offline dates were significant predictors; depression and loneliness were moderate predictors.
Conclusions:
- Problematic Tinder use is influenced by the interplay of user experience, individual traits, and situational factors.
- Issues like low self-esteem and negative moods, linked to PTU, are not directly solvable by current dating app designs.
- There is a need for digital services to identify and address potential problems associated with dating app popularity.
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