Dating algorithms? Investigating the reciprocal relationships between partner choice Fomo, decision fatigue, excessive swiping, and trust in algorithms on dating apps

Datos Bibliográficos

ID6443387
AutoresA Binder (0000-0003-3266-8614, University of Vienna, autor de correspondencia), Anja Stevic (0000-0001-9703-2225, Stanford University, Stanford, CA, USA), Jörg Matthes (0000-0001-9408-955X, University of Vienna), Marina F Thomas (0000-0001-7967-2165, Karl Landsteiner University of Health Sciences)
Año2024
Volumen27
Número12
Páginas6396-6415
Fecha de publicación2024-10-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaNew Media & Society (JOURNAL)
Identificadores de la revistaISSN: 1461-4448 • E-ISSN: 1461-7315
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448241270542
OpenAlexW4403356435
IdiomaEN
Citas recibidas7
Referencias citadas59

Dating apps have changed the way people establish contact with potential romantic partners. However, more and more dating apps use algorithms to keep their users’ engagement high. Studies suggest that trust in algorithms can shape offline dating experiences. We theorize that excessive swiping, driven by fear of missing out, predicts trust. We also explore the role of decision fatigue. Findings from a two-wave panel study with N Time2 = 521 young dating app users suggest that the fear of missing out on potential romantic partners was positively related to decision fatigue on dating apps. Moreover, excessive swiping and decision fatigue were positively related to trust in algorithms. No reciprocal effects of trust in algorithms on excessive swiping or decision fatigue were observed. It seems that trust in algorithms might present some kind of relief strategy for compulsive behaviors such as excessively swiping, or for negative feelings such as decision fatigue

Algorithm · Reciprocal · Computer Science · Digital Marketing and Social Media · Evolutionary Psychology and Human Behavior · Psychology · Sexuality, Behavior, and Technology · Artificial Intelligence