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Dating App Users: Interpersonal Styles and Self-Reported Mating Success.

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Men high in psychopathy and women who are easier to satisfy achieve greater mating success on dating apps. This study explores personality and sexual strategies influencing digital dating outcomes.

Keywords:
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Area of Science:

  • Evolutionary Psychology
  • Digital Sociology
  • Human Mating Behaviors

Background:

  • Dating apps are increasingly central to modern romantic and sexual encounters.
  • Understanding the psychological and behavioral factors influencing success on these platforms is crucial.
  • Previous research has not fully integrated personality traits, sociosexuality, and search strategies within an evolutionary framework for digital mating.

Purpose of the Study:

  • To investigate the relationship between interpersonal traits (narcissism, Machiavellianism, psychopathy), sexual styles, and search strategies on dating app mating success.
  • To examine the role of life history strategy in predicting dating app outcomes.
  • To conceptualize dating apps as digital leks and analyze mating success (dates, sex) within this framework.

Main Methods:

  • Survey methodology with a sample of 495 participants.
  • Assessment of personality traits, sociosexual attitudes and behaviors, and search strategies (satisficing, alternatives).
  • Statistical analysis to correlate these variables with self-reported dating app success (number of dates and sexual encounters).

Main Results:

  • Individuals employing a faster life history strategy, especially men high in psychopathy and sexual desires, reported higher mating success on dating apps.
  • Women characterized by easier satisficing (settling for readily available options) also reported increased sexual success on platforms like Tinder.
  • Specific facets of sociosexuality significantly predicted dating app outcomes, highlighting nuanced gender differences.

Conclusions:

  • Personality traits and sociosexual strategies are key predictors of mating success in digital environments.
  • The life history framework provides a valuable lens for understanding how individual differences manifest in online mating behaviors.
  • This research contributes to the understanding of digital mating dynamics and the evolution of human sexual strategies in technologically mediated contexts.