Gender and Racial Diversity in Commercial Brands’ Advertising Images on Social Media

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

Abstract

Gender and racial diversity in the mediated images from the media shape our perception of different demographic groups. In this work, we investigate gender and racial diversity of 85,957 advertising images shared by the 73 top international brands on Instagram and Facebook. We hope that our analyses give guidelines on how to build a fully automated watchdog for gender and racial diversity in online advertisements.

Original languageEnglish
Title of host publicationSocial Informatics - 11th International Conference, SocInfo 2019, Proceedings
EditorsIngmar Weber, Kareem M. Darwish, Claudia Wagner, Claudia Wagner, Fabian Flöck, Emilio Zagheni, Samin Aref, Laura Nelson
PublisherSpringer
Pages79-94
Number of pages16
ISBN (Print)9783030349707
DOIs
Publication statusPublished - 1 Jan 2019
Event11th International Conference on Social Informatics, SocInfo 2019 - Doha, Qatar
Duration: 18 Nov 201921 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11864 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Social Informatics, SocInfo 2019
CountryQatar
CityDoha
Period18/11/1921/11/19

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Keywords

  • Advertisement
  • Face detection
  • Gender diversity
  • Racial diversity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

An, J., & Kwak, H. (2019). Gender and Racial Diversity in Commercial Brands’ Advertising Images on Social Media. In I. Weber, K. M. Darwish, C. Wagner, C. Wagner, F. Flöck, E. Zagheni, S. Aref, & L. Nelson (Eds.), Social Informatics - 11th International Conference, SocInfo 2019, Proceedings (pp. 79-94). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11864 LNCS). Springer. https://doi.org/10.1007/978-3-030-34971-4_6