The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Gender stereotypes in advertising: a review of current research
Abstract
The purpose of this paper is to highlight the historical context of gender stereotypes in advertising and then examine the scholarship related to gender stereotypes. Gender portrayals in advertising have been examined extensively in the last five decades and still remain an important topic. Changing role structure in the family and in the labor force has brought significant variation in both male and female roles and subsequently how it is reflected in advertising. It has been noted that there is a culture lag. Sexes for a long period of time were depicted in advertising in more traditional roles. Women were presented in an inferior manner relative to their potential and capabilities, while at the same the data indicated a shift towards more positive role portrayals. The changing role of men is the area that has seen the greatest interest in the past few years. Men are depicted in advertising in ‘softer’ roles, while interacting with their children. Men are also shown in more egalitarian roles. The paper finally attempts to outline the future research direction of gender portrayals in advertising. First, research should focus on examining gender portrayals in online platforms, and find ways to modify current coding schemes to digital formats. Second, companies and the media are beginning to pay attention to a once largely ignored segment the lesbian/gay/bisexual/transgender (LGBT) consumer. Third, recent advertising has focused on the ‘empowered’ women called femvertising.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Culture, Media, Language: Working Papers in Cultural Studies, 1972-79
(2003) · Routledge eBooks · doi:10.4324/9780203381182 · Cited by 1,728
Cognitive Processes in Stereotyping and Intergroup Behavior
(2015) · Psychology Press eBooks · doi:10.4324/9781315668758 · Cited by 1,476
Cultivation Analysis: An Overview
Gerbner, G. (1998) · Mass Communication and Society · doi:10.1080/15205436.1998.9677855 · Cited by 792
A meta-analysis of gender roles in advertising
Eisend, M. (2010) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-009-0181-x · Cited by 447
The Distorted Mirror: Reflections on the Unintended Consequences of Advertising
Pollay, R. W. (1986) · Journal of Marketing · doi:10.1177/002224298605000202 · Cited by 432
Conceptual Approaches to Stereotypes and Stereotyping
(2015) · Cognitive Processes in Stereotyping and Intergroup Behavior · doi:10.4324/9781315668758-7 · Cited by 407
Mirrors of Masculinity: Representation and Identity in Advertising Images
Schroeder, J. E., & Zwick, D. (2004) · Consumption Markets & Culture · doi:10.1080/1025386042000212383 · Cited by 383
Business Advertising Appeals as a Mirror of Cultural Dimensions: A Study of Eleven Countries
Albers-Miller, N. D., & Gelb, B. D. (1996) · Journal of Advertising · doi:10.1080/00913367.1996.10673512 · Cited by 357
Deadly persuasion: why women and girls must fight the addictive power of advertising
(2000) · Choice Reviews Online · doi:10.5860/choice.37-5735 · Cited by 291
The Portrayal of Men and Women in American Television Commercials
McArthur, L. Z., & Resko, B. G. (1975) · The Journal of Social Psychology · doi:10.1080/00224545.1975.9923340 · Cited by 267
Cited by
Sun, L., Wei, M., Sun, Y., Suh, Y. J., Shen, L., & Yang, S. (2023) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmad045 · Cited by 146
Addressing Marketing Bias in Product Recommendations
Wan, M., Ni, J., Misra, R., & McAuley, J. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining · doi:10.1145/3336191.3371855 · Cited by 81
Metadata
- Authors
- Grau, S. L., & Zotos, Y. C.
- Venue
- International Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2016-07-11
- Volume
- 35
- Issue
- 5
- Pages
- 761-770
- ISSN
- 0265-0487 (ISSN-L)
- 1759-3948
- OpenAlex
- W2499370362
- Cited by
- 396
- References
- 35
- FWCI
- 41.04
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Gender stereotypes in advertising: a review of current research. https://app.cochat.ai/papers/10.1080/02650487.2016.1203556
- The paper
- Grau, S. L., & Zotos, Y. C. (2016). Gender stereotypes in advertising: a review of current research. International Journal of Advertising. https://doi.org/10.1080/02650487.2016.1203556
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.