Using computer vision to study the effects of BMI on online popularity and weight-based homophily

Enes Kocabey, Ferda Ofli, Javier Marin, Antonio Torralba, Ingmar Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Increasing prevalence of obesity has disconcerting implications for communities, for nations and, most importantly, for individuals in aspects ranging from quality of life, longevity and health, to social and financial prosperity. Therefore, researchers from a variety of backgrounds study obesity from all angles. In this paper, we use a state-of-the-art computer vision system to predict a person’s body-mass index (BMI) from their social media profile picture and demonstrate the type of analyses this approach enables using data from two culturally diverse settings – the US and Qatar. Using large amounts of Instagram profile pictures, we show that (i) thinner profile pictures have more followers, and that (ii) there is weight-based network homophily in that users with a similar BMI tend to cluster together. To conclude, we also discuss the challenges and limitations related to inferring various user attributes from photos.

Original languageEnglish
Title of host publicationSocial Informatics - 10th International Conference, SocInfo 2018, Proceedings
EditorsSteffen Staab, Olessia Koltsova, Dmitry I. Ignatov
PublisherSpringer Verlag
Pages129-138
Number of pages10
ISBN (Print)9783030011581
DOIs
Publication statusPublished - 1 Jan 2018
Event10th Conference on Social Informatics, SocInfo 2018 - Saint-Petersburg, Russian Federation
Duration: 25 Sep 201828 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11186 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th Conference on Social Informatics, SocInfo 2018
CountryRussian Federation
CitySaint-Petersburg
Period25/9/1828/9/18

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Keywords

  • Body-mass index
  • Computer vision
  • Social media

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kocabey, E., Ofli, F., Marin, J., Torralba, A., & Weber, I. (2018). Using computer vision to study the effects of BMI on online popularity and weight-based homophily. In S. Staab, O. Koltsova, & D. I. Ignatov (Eds.), Social Informatics - 10th International Conference, SocInfo 2018, Proceedings (pp. 129-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11186 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-01159-8_12