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Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown

Simon, Felix M; Altay, Sacha; Mercier, Hugo (2023). Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown. Harvard Kennedy School Misinformation Review:1-11.

Abstract

Many observers of the current explosion of generative AI worry about its impact on our information environment, with concerns being raised about the increased quantity, quality, and personalization of misinformation. We assess these arguments with evidence from communication studies, cognitive science, and political science. We argue that current concerns about the effects of generative AI on the misinformation landscape are overblown.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Political Science
Dewey Decimal Classification:320 Political science
Scopus Subject Areas:Social Sciences & Humanities > Social Sciences (miscellaneous)
Uncontrolled Keywords:Artificial intelligence, impact
Language:English
Date:18 October 2023
Deposited On:04 Jan 2024 10:29
Last Modified:26 Mar 2025 04:43
Publisher:Harvard Kennedy School
ISSN:2766-1652
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.37016/mr-2020-127
Project Information:
  • Funder: University of Oxford
  • Grant ID:
  • Project Title:
  • Funder: H2020
  • Grant ID: 883121
  • Project Title: PRODIGI - Problem Definition in the Digital Democracy
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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