IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/32802.html
   My bibliography  Save this paper

Beliefs About Political News in the Run-up to an Election

Author

Listed:
  • Charles Angelucci
  • Michel Gutmann
  • Andrea Prat

Abstract

This paper develops a model of news discernment to explore the influence of elections on the formation of partisan-driven parallel information universes. Using survey data from news quizzes administered during and outside the 2020 U.S. presidential election, the model shows that partisan congruence’s impact on news discernment is substantially amplified during election periods. Outside an election, when faced with a true and a fake news story and asked to select the most likely true story, an individual is 4% more likely to choose the true story if it favors their party; in the days prior to the election, this increases to 11%.

Suggested Citation

  • Charles Angelucci & Michel Gutmann & Andrea Prat, 2024. "Beliefs About Political News in the Run-up to an Election," NBER Working Papers 32802, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:32802
    Note: POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w32802.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

    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:nbr:nberwo:32802. 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://edirc.repec.org/data/nberrus.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.