Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown-Reference-Cited by-同舟云学术

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

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:Harvard Kennedy School Misinformation Review
language:
Short-container-title:HKS Misinfo Review

Author:

Simon Felix M.¹,Altay Sacha²,Mercier Hugo³

Affiliation:

1. Oxford Internet Institute, University of Oxford, U.K

2. Department of Political Science, University of Zurich, Switzerland

3. Institut Jean Nicod, Département d’Études Cognitives, ENS, EHESS, PSL University, CNRS, France

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.

Funder

University of Oxford

HORIZON EUROPE European Research Council

Agence Nationale de la Recherche

Publisher

Shorenstein Center for Media, Politics, and Public Policy

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science,General Earth and Planetary Sciences,General Environmental Science,General Engineering,Ocean Engineering,General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development,Mechanical Engineering,General Medicine

Reference63 articles.

1. Acerbi, A., Altay, S., & Mercier, H. (2022). Research note: Fighting misinformation or fighting for information? Harvard Kennedy School (HKS) Misinformation Review, 3(1). https://doi.org/10.37016/mr-2020-87

2. Alper, S. (2023). There are higher levels of conspiracy beliefs in more corrupt countries. European Journal of Social Psychology, 53(3), 503–517. https://doi.org/10.1002/ejsp.2919

3. Altay, S., & Acerbi, A. (2023). People believe misinformation is a threat because they assume others are gullible. New Media & Society. https://doi.org/10.1177/14614448231153379

4. Altay, S., Nielsen, R. K., & Fletcher, R. (2022). Quantifying the “infodemic”: People turned to trustworthy news outlets during the 2020 coronavirus pandemic. Journal of Quantitative Description: Digital Media, 2. https://journalqd.org/article/view/3617/2703

5. Altay, S., Berriche, M., Heuer, H., Farkas, J., & Rathje, S. (2023). A survey of expert views on misinformation: Definitions, determinants, solutions, and future of the field. Harvard Kennedy School (HKS) Misinformation Review, 4(4). https://doi.org/10.37016/mr-2020-119

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Are Strong Baselines Enough? False News Detection with Machine Learning;Future Internet;2024-09-05

2. GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation;Harvard Kennedy School Misinformation Review;2024-09-03

3. Beyond the deepfake hype: AI, democracy, and “the Slovak case”;Harvard Kennedy School Misinformation Review;2024-08-22

4. Investigating Gender and Racial Biases in DALL-E Mini Images;ACM Journal on Responsible Computing;2024-06-20

5. Unveiling the evolution of generative AI (GAI): a comprehensive and investigative analysis toward LLM models (2021–2024) and beyond;Journal of Electrical Systems and Information Technology;2024-06-12