Self-attributed facial prominence on social networks through one's own photography: Effect of type of network, age and gender

Authors

  • Eva Cifre Department of Developmental, Social Psychology and Methodology, Universitat Jaume I, Castellón (Spain) https://orcid.org/0000-0002-5182-032X
  • Jordi Santamaría-Dávila Department of Developmental, Educational and Social Psychology and Methodology, Universitat Jaume I, Castellón (Spain)
  • Jesús F. Rosel Department of Developmental, Educational and Social Psychology and Methodology, Universitat Jaume I, Castellón (Spain)
DOI: https://doi.org/10.6018/analesps.474721
Keywords: Self-attributed face-ism, Gender, Age, Social network sites, Self-presentation

Abstract

There are many studies on Self-Attributed Face-ism (SAF) in considering social networks (SNS), sex and age, but with these variables separately. This research carries out a joint study of the above variables through a random sample of 1050 SNS profiles. Our hypothesis is that SAF is a function of SNS (dating: Badoo, social: Facebook, professional: LinkedIn), sex, age, and the interaction of sex×age. The results show differences in SAF depending on SNS (highest in the professional network), men having more facial prominence than women. It happens even more when they get older, whereas SAF hardly augments in women with age (having more body prominence than men) (sex x age interaction). Findings show that SAF on-line is a complex phenomenon, it seems not to have a unique and straightforward theoretical explanation, and SAF gender stereotypes grow with age. We also consider the need to study the phenomenon, including a gender perspective, to fight against sexism in new media.

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Published
19-04-2022
How to Cite
Cifre, E., Santamaría-Dávila, J., & Rosel, J. F. (2022). Self-attributed facial prominence on social networks through one’s own photography: Effect of type of network, age and gender. Anales de Psicología / Annals of Psychology, 38(2), 336–346. https://doi.org/10.6018/analesps.474721
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Section
Social Psychology