IDEAS home Printed from https://ideas.repec.org/p/bge/wpaper/1177.html
   My bibliography  Save this paper

Media Persuasion through Slanted Language: Evidence from the Coverage of Immigration

Author

Listed:
  • Milena Djourelova

Abstract

Can the language used by mass media to cover policy relevant issues affect readers' policy preferences? I examine this question for the case of immigration, exploiting an abrupt ban on the term "illegal immigrant" in wire content distributed to media outlets by the Associated Press (AP). Using text data on AP dispatches and the content of a large number of US print and online outlets, I find that articles mentioning "illegal immigrant" decline by 28% in outlets that rely on AP relative to others. This change in language appears to have had a tangible impact on readers' views on immigration. Following AP's ban, individuals exposed to outlets relying more heavily on AP tend to support less restrictive immigration and border security policies. The effect is driven by frequent readers and does not apply to views on issues other than immigration.

Suggested Citation

  • Milena Djourelova, 2020. "Media Persuasion through Slanted Language: Evidence from the Coverage of Immigration," Working Papers 1177, Barcelona School of Economics.
    • Handle: RePEc:bge:wpaper:1177
    as

    Download full text from publisher

    File URL: https://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/1177_0.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    mass media; media slant; Framing; Immigration;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bge:wpaper:1177. 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: Bruno Guallar (email available below). General contact details of provider: https://edirc.repec.org/data/bargses.html .

    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.