Quantifying partisan news diets in Web and TV audiences-Reference-Cited by-全球学者库

Quantifying partisan news diets in Web and TV audiences

Published:2022-07-15 Issue:28 Volume:8 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Muise Daniel¹^ORCID,Hosseinmardi Homa²³,Howland Baird³,Mobius Markus⁴^ORCID,Rothschild David⁵^ORCID,Watts Duncan J.²³⁶^ORCID

Affiliation:

1. Department of Communication, Stanford University, Stanford, CA, USA.

2. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.

3. Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

4. Microsoft Research New England, Cambridge, MA, USA.

5. Microsoft Research NYC, New York, NY, USA.

6. Operations, Information, and Decisions Department, University of Pennsylvania, Philadelphia, PA, USA.

Abstract

Partisan segregation within the news audience buffers many Americans from countervailing political views, posing a risk to democracy. Empirical studies of the online media ecosystem suggest that only a small minority of Americans, driven by a mix of demand and algorithms, are siloed according to their political ideology. However, such research omits the comparatively larger television audience and often ignores temporal dynamics underlying news consumption. By analyzing billions of browsing and viewing events between 2016 and 2019, with a novel framework for measuring partisan audiences, we first estimate that 17% of Americans are partisan-segregated through television versus roughly 4% online. Second, television news consumers are several times more likely to maintain their partisan news diets month-over-month. Third, TV viewers’ news diets are far more concentrated on preferred sources. Last, partisan news channels’ audiences are growing even as the TV news audience is shrinking. Our results suggest that television is the top driver of partisan audience segregation among Americans.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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