Modeling dating decisions in a mock swiping paradigm: An examination of participant and target characteristics. Chopik, W. J. & Johnson, D. J. Journal of Research in Personality, 92:104076, 2021.
Modeling dating decisions in a mock swiping paradigm: An examination of participant and target characteristics [link]Paper  doi  abstract   bibtex   
New online dating platforms, such as Tinder, are dramatically changing the context in which people seek romantic relationships. In these platforms, users select partners they are willing to start a conversation with by “swiping” on them. These platforms provide exciting possibilities for applying new methods to test how user (e.g., demographic, personality) and target/partner (e.g., attractiveness, race) factors predict attraction. Across four laboratory studies (total N = 2,679), target physical attractiveness and target race were the largest predictors of decisions in this hypothetical dating context, whereas user individual difference traits were poor predictors. The current studies provide substantive information about the factors that predict romantic attraction in the context of mobile-based dating applications.
@article{CHOPIK2021104076,
title = {Modeling dating decisions in a mock swiping paradigm: An examination of participant and target characteristics},
journal = {Journal of Research in Personality},
volume = {92},
pages = {104076},
year = {2021},
issn = {0092-6566},
doi = {https://doi.org/10.1016/j.jrp.2021.104076},
url = {https://www.sciencedirect.com/science/article/pii/S0092656621000131},
author = {William J. Chopik and David J. Johnson},
keywords = {Tinder, Dating decisions, Individual differences, Mating behavior, Race, Attraction},
abstract = {New online dating platforms, such as Tinder, are dramatically changing the context in which people seek romantic relationships. In these platforms, users select partners they are willing to start a conversation with by “swiping” on them. These platforms provide exciting possibilities for applying new methods to test how user (e.g., demographic, personality) and target/partner (e.g., attractiveness, race) factors predict attraction. Across four laboratory studies (total N = 2,679), target physical attractiveness and target race were the largest predictors of decisions in this hypothetical dating context, whereas user individual difference traits were poor predictors. The current studies provide substantive information about the factors that predict romantic attraction in the context of mobile-based dating applications.}
}

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