IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v95y2014i5p1194-1212.html

Who Cares What They Wear? Media, Gender, and the Influence of Candidate Appearance

Author

Listed:
  • Danny Hayes
  • Jennifer L. Lawless
  • Gail Baitinger

Abstract

type="main"> This article seeks to determine whether candidate appearance influences election outcomes, and if so, whether the effect depends on the politician's sex. For all of the scholarly attention these questions have received in recent years, the way that media coverage of candidate appearance shapes voters’ evaluations remains unclear. We report the results of an experiment designed to shed light on these questions. We exposed a national sample of subjects to news coverage of candidates for a seat in the U.S. Congress. We varied whether the candidate was a man or a woman, and whether the candidate's appearance was covered positively, negatively, neutrally, or not mentioned at all. Our analysis reveals that only negative appearance coverage has an effect, driving down evaluations by lowering voters’ assessments of candidates’ professionalism. Critically, though, the effect is identical for male and female candidates. Regardless of whether we examine overall candidate favorability, assessments of traits, or perceptions of issue-handling ability, female politicians do not pay a disproportionate price when the media focus on how they look. Ultimately, even though candidate sex and physical appearance can matter to voters, these factors are unlikely to displace incumbency, partisanship, and ideology as principal drivers of election outcomes.

Suggested Citation

  • Danny Hayes & Jennifer L. Lawless & Gail Baitinger, 2014. "Who Cares What They Wear? Media, Gender, and the Influence of Candidate Appearance," Social Science Quarterly, Southwestern Social Science Association, vol. 95(5), pages 1194-1212, December.
  • Handle: RePEc:bla:socsci:v:95:y:2014:i:5:p:1194-1212
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ssqu.12113
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kevin Arceneaux, 2012. "Cognitive Biases and the Strength of Political Arguments," American Journal of Political Science, John Wiley & Sons, vol. 56(2), pages 271-285, April.
    2. Erika Falk & Kate Kenski, 2006. "Issue Saliency and Gender Stereotypes: Support for Women as Presidents in Times of War and Terrorism," Social Science Quarterly, Southwestern Social Science Association, vol. 87(1), pages 1-18, March.
    3. Kernell, Samuel, 1977. "Presidential Popularity and Negative Voting: An Alternative Explanation of the Midterm Congressional Decline of the President's Party," American Political Science Review, Cambridge University Press, vol. 71(1), pages 44-66, March.
    4. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicole R. Foster Shoaf & Tara N. Parsons, 2016. "18 Million Cracks, but No Cigar: News Media and the Campaigns of Clinton, Palin, and Bachmann," Social Sciences, MDPI, vol. 5(3), pages 1-15, September.
    2. Migheli, Matteo, 2022. "Lost in election. How different electoral systems translate the voting gender gap into gender representation bias," International Review of Law and Economics, Elsevier, vol. 71(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luke Fowler & Stephen Utych, 2021. "Are people better employees than machines? Dehumanizing language and employee performance appraisals," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 2006-2019, July.
    2. Kevin E. Levay & Jeremy Freese & James N. Druckman, 2016. "The Demographic and Political Composition of Mechanical Turk Samples," SAGE Open, , vol. 6(1), pages 21582440166, March.
    3. Adam S. Chilton, 2015. "The Laws of War and Public Opinion: An Experimental Study," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 171(1), pages 181-201, March.
    4. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    5. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    6. Jeanette A.M.J. Deetlefs & Mathew Chylinski & Andreas Ortmann, 2015. "MTurk ‘Unscrubbed’: Exploring the good, the ‘Super’, and the unreliable on Amazon’s Mechanical Turk," Discussion Papers 2015-20, School of Economics, The University of New South Wales.
    7. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    8. John Hulland & Jeff Miller, 2018. "“Keep on Turkin’”?," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 789-794, September.
    9. Kyungsik Han, 2018. "How do you perceive this author? Understanding and modeling authors’ communication quality in social media," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    10. Azzam, Tarek & Harman, Elena, 2016. "Crowdsourcing for quantifying transcripts: An exploratory study," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 63-73.
    11. Barton, Jared & Pan, Xiaofei, 2022. "Movin’ on up? A survey experiment on mobility enhancing policies," European Journal of Political Economy, Elsevier, vol. 74(C).
    12. Holgersen, Henning & Jia, Zhiyang & Svenkerud, Simen, 2021. "Who and how many can work from home? Evidence from task descriptions," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-4.
    13. Gandullia, Luca & Lezzi, Emanuela & Parciasepe, Paolo, 2020. "Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types," Journal of Economic Psychology, Elsevier, vol. 78(C).
    14. Prissé, Benjamin & Jorrat, Diego, 2022. "Lab vs online experiments: No differences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    15. Phillips, Duygu & Edwards, Bryan D. & Rutherford, Matthew W., 2025. "Conformity or Differentiation: Optimal distinctiveness through mediating channels," Journal of Business Research, Elsevier, vol. 189(C).
    16. Min Chung Han, 2021. "Thumbs down on “likes”? The impact of Facebook reactions on online consumers’ nonprofit engagement behavior," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 18(2), pages 255-272, June.
    17. Narae Kim & Jeong-Nam Kim, 2024. "A COVID-19 Paradox of Communication, Ignorance, and Vaccination Intention," SAGE Open, , vol. 14(3), pages 21582440241, September.
    18. Dongshu Liu & Li Shao, 2024. "Nationalist propaganda and support for war in an authoritarian context: Evidence from China," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(6), pages 985-1001, November.
    19. Valerio Capraro & Hélène Barcelo, 2021. "Punishing defectors and rewarding cooperators: Do people discriminate between genders?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 19-32, September.
    20. Jimin Pyo & Michael G. Maxfield, 2021. "Cognitive Effects of Inattentive Responding in an MTurk Sample," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 2020-2039, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:socsci:v:95:y:2014:i:5:p:1194-1212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.