Measuring the news and its impact on democracy

PNAS 2021 Vol. 118 No. 15 https://doi.org/10.1073/pnas.1912443118

Autor: 

1. Duncan J. Watts; Department of Computer and Information Science, University of Pennsylvania, Philadelphia; The Annenberg School of Communication, University of Pennsylvania, Philadelphia; Operations, Information, and Decisions Department, University of Pennsylvania, Philadelphia; djwatts@seas.upenn.edu. https://orcid.org/0000-0001-5005-4961?
2. David M. Rothschild; Microsoft Research, New York.
3. Markus Mobius, Microsoft Research, Cambridge, Massachusetts.  

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.

Idioma: inglés.

Publicación: 9 de abril del 2021

Volumen: PNAS 2021 Vol. 118 No. 15

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