Measuring the news and its impact on democracy
- PMID: 33837145
- PMCID: PMC8053935
- DOI: 10.1073/pnas.1912443118
Measuring the news and its impact on democracy
Abstract
Since the 2016 US presidential election, the deliberate spread of misinformation online, and on social media in particular, has generated extraordinary concern, in large part because of its potential effects on public opinion, political polarization, and ultimately democratic decision making. Recently, however, a handful of papers have argued that both the prevalence and consumption of "fake news" per se is extremely low compared with other types of news and news-relevant content. Although neither prevalence nor consumption is a direct measure of influence, this work suggests that proper understanding of misinformation and its effects requires a much broader view of the problem, encompassing biased and misleading-but not necessarily factually incorrect-information that is routinely produced or amplified by mainstream news organizations. In this paper, we propose an ambitious collective research agenda to measure the origins, nature, and prevalence of misinformation, broadly construed, as well as its impact on democracy. We also sketch out some illustrative examples of completed, ongoing, or planned research projects that contribute to this agenda.
Keywords: democracy; media; misinformation.
Conflict of interest statement
The authors declare no competing interest.
Figures
Similar articles
-
Fake news in the age of COVID-19: evolutional and psychobiological considerations.Psychiatriki. 2022 Sep 19;33(3):183-186. doi: 10.22365/jpsych.2022.087. Epub 2022 Jul 19. Psychiatriki. 2022. PMID: 35947862 English, Greek, Modern.
-
Psychological factors contributing to the creation and dissemination of fake news among social media users: a systematic review.BMC Psychol. 2024 Nov 18;12(1):673. doi: 10.1186/s40359-024-02129-2. BMC Psychol. 2024. PMID: 39558439 Free PMC article.
-
The Electoral Misinformation Nexus: How News Consumption, Platform Use, and Trust in News Influence Belief in Electoral Misinformation.Public Opin Q. 2024 Jul 22;88(SI):681-707. doi: 10.1093/poq/nfae019. eCollection 2024. Public Opin Q. 2024. PMID: 39109090 Free PMC article.
-
Evaluating the fake news problem at the scale of the information ecosystem.Sci Adv. 2020 Apr 3;6(14):eaay3539. doi: 10.1126/sciadv.aay3539. eCollection 2020 Apr. Sci Adv. 2020. PMID: 32284969 Free PMC article.
-
Fake News: Spread of Misinformation about Urological Conditions on Social Media.Eur Urol Focus. 2020 May 15;6(3):437-439. doi: 10.1016/j.euf.2019.11.011. Epub 2019 Dec 23. Eur Urol Focus. 2020. PMID: 31874796 Review.
Cited by
-
Quantifying the 'end of history' through a Bayesian Markov-chain approach.R Soc Open Sci. 2022 Nov 30;9(11):221131. doi: 10.1098/rsos.221131. eCollection 2022 Nov. R Soc Open Sci. 2022. PMID: 36465687 Free PMC article.
-
Reflecting on Indonesia's young academy movement.Proc Natl Acad Sci U S A. 2024 Apr 23;121(17):e2307213121. doi: 10.1073/pnas.2307213121. Epub 2024 Apr 15. Proc Natl Acad Sci U S A. 2024. PMID: 38621134 Free PMC article.
-
Protecting infrastructure performance from disinformation attacks.Sci Rep. 2022 Jul 26;12(1):12707. doi: 10.1038/s41598-022-16832-w. Sci Rep. 2022. PMID: 35882902 Free PMC article.
-
Users choose to engage with more partisan news than they are exposed to on Google Search.Nature. 2023 Jun;618(7964):342-348. doi: 10.1038/s41586-023-06078-5. Epub 2023 May 24. Nature. 2023. PMID: 37225979
-
Highly engaging events reveal semantic and temporal compression in online community discourse.PNAS Nexus. 2025 Feb 24;4(3):pgaf056. doi: 10.1093/pnasnexus/pgaf056. eCollection 2025 Mar. PNAS Nexus. 2025. PMID: 40078167 Free PMC article.
References
-
- Allcott H., Gentzkow M., Social media and fake news in the 2016 election. J. Econ. Perspect. 31, 211–236 (2017).
-
- Wardle C., Derakhshan H., “Information disorder: Toward an interdisciplinary framework for research and policymaking” (DGI(2017)09, Council of Europe, 2017).
-
- Shu K., Sliva A., Wang S., Tang J., Liu H., Fake news detection on social media: A data mining perspective. SIGKDD Explor. 19, 22–36 (2017).
-
- Tucker J., et al. ., Social media, political polarization, and political disinformation: A review of the scientific literature. SSRN [Preprint] (2018). 10.2139/ssrn.3144139 (Accessed 12 March 2021). - DOI
-
- Lazer D. M. J., et al. ., The science of fake news. Science 359, 1094–1096 (2018). - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources