IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/18912.html
   My bibliography  Save this paper

From Buzz to Bust: How Fake News Shapes the Business Cycle

Author

Listed:
  • Assenza, Tiziana
  • Collard, Fabrice
  • Feve, Patrick
  • Huber, Stefanie

Abstract

The proliferation of fake news poses significant challenges for policymakers and raises concerns about its potential impact on economic stability. This paper explores this question, focusing on the macroeconomic effects of technology related fake news in the US for the period 2007--2022. Utilizing a novel dataset of fact-checked statements from PolitiFact, we construct a binary indicator to build a proxy for the exogenous variation in fake news issuance. Adopting a proxy-VAR approach, we show that technology fake news increases macroeconomic uncertainty, exacerbates unemployment, and depresses industrial production. Similar effects are observed for fake news related to the supply side, such as tax rates or the price of gas. On the contrary, fake news related to government finance, market regulation, or the labor market does not impact economic stability. Furthermore, fake news that conveys negative information about technological developments exhibits stronger depressive impacts than positive ones.

Suggested Citation

  • Assenza, Tiziana & Collard, Fabrice & Feve, Patrick & Huber, Stefanie, 2024. "From Buzz to Bust: How Fake News Shapes the Business Cycle," CEPR Discussion Papers 18912, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:18912
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP18912
    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 search for a different version of it.

    More about this item

    Keywords

    Fake news;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:18912. 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.