RMIT University
Browse

Are women winning? An exploratory study using content analysis to examine the representation of females in sports advertising in Australian sports magazine

conference contribution
posted on 2024-10-31, 18:39 authored by Donna Gallagher, Foula KopanidisFoula Kopanidis, Michael Shaw
This paper presents an exploratory study investigating the role portrayal of women in sports advertisements in sporting magazines published in Australia. Content analysis of gender, activity, connotation, camera angle, product advertised, sport category and clothing worn was conducted on 267 advertisements. Results showed that females featured significantly less often than males, were more often posed than active, were represented in images taken by a straight on camera angle, shown participating more in individual sports, sexy clothing was most common in sporting attire, and were less likely to be promoting sporting products. The findings of this study are important to marketers looking to develop advertising towards attracting the consumption behavior of a growing segment of Australian women who actively participate in sport. Understanding that positive representation of female participation in sports via affirmative advertising endorsement and vicarious role models can influence consumption decisions also has relevant implications for advertising practitioners.

History

Start page

31

End page

37

Total pages

7

Outlet

Proceedings of the Australian and New Zealand Marketing Academy Annual Conference 2014 (ANZMAC 2014)

Editors

S. Rundle-Thiele, K. Kubacki and D. Arli

Name of conference

ANZMAC 2014: Agents of Change

Publisher

Australian and New Zealand Marketing Academy

Place published

Brisbane, Australia

Start date

2014-12-01

End date

2014-12-03

Language

English

Copyright

© ANZMAC 2014

Former Identifier

2006052153

Esploro creation date

2020-06-22

Fedora creation date

2015-04-20

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC