Anatomy of audience duplication networks

How individual characteristics differentially contribute to fragmentation in news consumption and trust

Datos Bibliográficos

ID12655331
AutoresYilang Peng (0000-0001-7711-9518, University of Georgia), Tian Yang (0000-0002-7254-2584, University of Pennsylvania), Yang Tian (0000-0001-6407-5608, California University of Pennsylvania, autor de correspondencia)
Año2021
Volumen24
Número10
Páginas2270-2290
Fecha de publicación2021-02-15
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaNew Media & Society (JOURNAL)
Identificadores de la revistaISSN: 1461-4448 • E-ISSN: 1461-7315
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/1461444821991559
OpenAlexW3131094369
IdiomaEN
Citas recibidas12
Referencias citadas63

While partisan selective exposure could drive audience fragmentation, other individual factors might also differentiate news diets. This study applies a method that disentangles the differential contributions of the individual characteristics to audience duplication networks. By analyzing a nationally representative survey about US adults’ media use in 2019 ( N = 12,043), we demonstrate that news fragmentation is driven by a myriad of individual factors, such as gender, race, and religiosity. Partisanship is still an important driver. We also distinguish between media exposure and media trust, showing that many cross-cutting ties in co-exposure networks disappear when media trust is considered. We conclude that audience fragmentation research should extend beyond ideological selectivity and additionally investigate how and why other individual-level preferences differentially contribute to fragmentation both in news exposure and in news trust

Advertising · Business · Consumption (sociology · Fragmentation (computing · Ideology · News media · Political science · Politics · Religiosity · Social science · Sociology · Computer Science · Law · Media Studies and Communication · Misinformation and Its Impacts · Psychology · Social Media and Politics · Social Psychology