IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/16624.html

Visual Representation and Stereotypes in News Media

Author

Listed:
  • Ash, Elliott
  • Durante, Ruben
  • Grebenshchikova, Mariia
  • Schwarz, Carlo

Abstract

We propose and validate a new method to measure gender and ethnic stereotypes in news reports, using computer vision tools to assess the gender, race and ethnicity of individuals depicted in article images. Applying this approach to 700,000 web articles published in the New York Times and Fox News between 2000 and 2020, we find that males and whites are overrepresented relative to their population share, while women and Hispanics are underrepresented. Relating images to text, we find that news content perpetuates common stereotypes such as associating Blacks and Hispanics with low-skill jobs, crime, and poverty, and Asians with high-skill jobs and science. Analyzing news coverage of specific jobs, we show that racial stereotypes hold even after controlling for the actual share of a group in a given occupation. Finally, we document that group representation in the news is influenced by the gender and ethnic identity of authors and editors.

Suggested Citation

  • Ash, Elliott & Durante, Ruben & Grebenshchikova, Mariia & Schwarz, Carlo, 2022. "Visual Representation and Stereotypes in News Media," CEPR Discussion Papers 16624, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:16624
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP16624
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Kuhn, Andreas, 2022. "The Times Have Changed: Tracking the Evolution of Gender Norms over Time," IZA Discussion Papers 15621, Institute of Labor Economics (IZA).
    3. Elisa Baldazzi & Pietro Biroli & Marina Della Giusta & Florent Dubois, 2025. "Seeing stereotypes," IFS Working Papers W25/46, Institute for Fiscal Studies.
    4. Farukh, Razi & Heinz, Matthias & Kerkhof, Anna & Schumacher, Heiner, 2025. "Attitudes to migration and the market for news," Information Economics and Policy, Elsevier, vol. 70(C).
    5. Kai Gehring & Joop Age Harm Adema & Panu Poutvaara, 2022. "Immigrant Narratives," CESifo Working Paper Series 10026, CESifo.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Z1 - Other Special Topics - - Cultural Economics
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

    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:cpr:ceprdp:16624. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.