[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/oup/ooecxx/v2y2023ip512-47..html
   My bibliography  Save this article

Sentiment and the belief in fake news during the 2020 presidential primaries

Author

Listed:
  • Christopher Adamo
  • Jeffrey Carpenter
Abstract
The influence of misinformation on the political decision-making process became a major concern in the United States after the 2016 Presidential election. We study the impact of “fake news” in the 2020 election cycle by conducting an online experiment the day before the “Super Tuesday” primary elections. Respondents attempt to differentiate between fake and true news headlines that vary exogenously with respect to the emotive language in which they are written. In addition to confirming the effect of demographics and identifying a new determinant of beliefs, the illusion of personal objectivity, we find that the sentiment of a headline determines whether it is believed and correctly assessed. We also find that the effects of emotive language vary by political affiliation. These results suggest ways to protect oneself against misinformation and engage critically with the news.

Suggested Citation

  • Christopher Adamo & Jeffrey Carpenter, 2023. "Sentiment and the belief in fake news during the 2020 presidential primaries," Oxford Open Economics, Oxford University Press, vol. 2, pages 512-547.
    • Handle: RePEc:oup:ooecxx:v:2:y:2023:i::p:512-47.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ooec/odad051
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    References listed on IDEAS

    as
    1. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    2. Stuart Soroka & Lori Young & Meital Balmas, 2015. "Bad News or Mad News? Sentiment Scoring of Negativity, Fear, and Anger in News Content," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 108-121, May.
    3. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    4. Hunt Allcott & Matthew Gentzkow & Chuan Yu, 2019. "Trends in the Diffusion of Misinformation on Social Media," NBER Working Papers 25500, National Bureau of Economic Research, Inc.
    5. Melis Kartal & Jean-Robert Tyran, 2022. "Fake News, Voter Overconfidence, and the Quality of Democratic Choice," American Economic Review, American Economic Association, vol. 112(10), pages 3367-3397, October.
    6. Andrew M. Guess & Brendan Nyhan & Jason Reifler, 2020. "Exposure to untrustworthy websites in the 2016 US election," Nature Human Behaviour, Nature, vol. 4(5), pages 472-480, May.
    7. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    Full references (including those not matched with items on IDEAS)

    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. Fabio Padovano & Pauline Mille, 2023. "Education, fake news and the Political Budget Cycle," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2023-01-ccr, Condorcet Center for political Economy.
    2. Ryan C. Moore & Ross Dahlke & Jeffrey T. Hancock, 2023. "Exposure to untrustworthy websites in the 2020 US election," Nature Human Behaviour, Nature, vol. 7(7), pages 1096-1105, July.
    3. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    4. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    5. Nyabuti Damaris Kemunto & Prof. Hezron Mogambi & Dr. Anita Kiamba, 2023. "Foreign Policy Disinformation: Fueling Polarization and Deterioration of the Public Sphere in Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 425-442, August.
    6. Saumya Bhadani & Shun Yamaya & Alessandro Flammini & Filippo Menczer & Giovanni Luca Ciampaglia & Brendan Nyhan, 2022. "Political audience diversity and news reliability in algorithmic ranking," Nature Human Behaviour, Nature, vol. 6(4), pages 495-505, April.
    7. Pierluigi Conzo & Andrea Gallice & Juan S. Morales & Margaret Samahita & Laura K. Taylor, 2021. "Can Hearts Change Minds? Social media Endorsements and Policy Preferences," Carlo Alberto Notebooks 641, Collegio Carlo Alberto.
    8. Andrew P. Weiss & Ahmed Alwan & Eric P. Garcia & Antranik T. Kirakosian, 2021. "Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information," Societies, MDPI, vol. 11(3), pages 1-17, July.
    9. Sergei Guriev & Elias Papaioannou, 2022. "The Political Economy of Populism," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 753-832, September.
    10. Geraci, Andrea & Nardotto, Mattia & Reggiani, Tommaso & Sabatini, Fabio, 2022. "Broadband Internet and social capital," Journal of Public Economics, Elsevier, vol. 206(C).
    11. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2024. "The Effect of Social Media on Elections: Evidence from The United States," Journal of the European Economic Association, European Economic Association, vol. 22(3), pages 1495-1539.
    12. Marcel Caesmann & Janis Goldzycher & Matteo Grigoletto & Lorenz Gschwent, 2024. "Censorship in democracy," ECON - Working Papers 446, Department of Economics - University of Zurich.
    13. João Pedro Baptista & Anabela Gradim, 2020. "Understanding Fake News Consumption: A Review," Social Sciences, MDPI, vol. 9(10), pages 1-22, October.
    14. Jiménez-Durán, Rafael, 2022. "The economics of content moderation: Theory and experimental evidence from hate speech on Twitter," Working Papers 324, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    15. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
    16. Jost, Peter J. & Pünder, Johanna & Schulze-Lohoff, Isabell, 2020. "Fake news - Does perception matter more than the truth?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    17. Apostolos Filippas & John Horton, 2021. "The Production and Consumption of Social Media," Papers 2104.00834, arXiv.org.
    18. Eugenio Levi & Michael Bayerlein & Gianluca Grimalda & Tommaso Reggiani, 2023. "Narratives on migration and political polarization: How the emphasis in narratives can drive us apart," MUNI ECON Working Papers 2023-07, Masaryk University.
    19. Yesilada, Muhsin & Lewandowsky, Stephan, 2022. "Systematic review: YouTube recommendations and problematic content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 11(1), pages 1-22.
    20. Giacomo Manetti & Carmela Nitti & Marco Bellucci, 2022. "The accountability of Search and Rescue NGOs," Working Papers - Business wp2022_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    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:oup:ooecxx:v:2:y:2023:i::p:512-47.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ooec .

    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.