Advanced search
Publication Cover
Political Communication Volume 41, 2024 - Issue 1
Submit an article Journal homepage
4,283
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Non-News Websites Expose People to More Political Content Than News Websites: Evidence from Browsing Data in Three CountriesOpen DataOpen Materials

Magdalena Wojcieszaka Department of Communication, University of California, Davis, California, USA;b Amsterdam School of Communication Research, Amsterdam, The NetherlandsCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5456-4483View further author information
ORCID Icon,
Ericka Menchen-Trevinoc School of Communication, American University, Washington DC, Massachusetts, USAORCID Iconhttps://orcid.org/0000-0002-5029-8269View further author information
ORCID Icon,
Bernhard Clemm von Hohenbergd GESIS – Leibniz-Institute for the Social Sciences, Mannheim, GermanyView further author information
,
Sjifra de Leeuwe Dutch Ministry of Finance, Den Haag, The NetherlandsView further author information
,
João Gonçalvesf Department of Media and Communication, Erasmus University Rotterdam, Rotterdam, The NetherlandsView further author information
,
Sam Davidsong Linguistics Department, University of California, Davis, California, USAView further author information
&
Alexandre Gonçalvesh Department of Journalism, University of Illinois, Urbana-Champaign, IL, USAView further author information
 show all
Pages 129-151 | Published online: 10 Aug 2023

Figures & data

Figure 1. Overview project flow.

Figure 1. Overview project flow.

Figure 2. Relative prevalence of the tested exposures.

Figure 2. Relative prevalence of the tested exposures.

Figure 3. Prevalence of exposure to news, political content within news domains, and political content outside news domains.

Figure 3. Prevalence of exposure to news, political content within news domains, and political content outside news domains.

Figure 4. Effects of exposure to news and to political content outside news. Coefficients are from two different random-intercept models, each regressing the outcome on a type of exposure (news or political non-news), as well as a set of controls. These two models correspond to “model 1” and “model 2” in the full regression tables in SM G.1.

Figure 4. Effects of exposure to news and to political content outside news. Coefficients are from two different random-intercept models, each regressing the outcome on a type of exposure (news or political non-news), as well as a set of controls. These two models correspond to “model 1” and “model 2” in the full regression tables in SM G.1.
Supplemental material

Supplemental Material

Download PDF (5.4 MB)

Data availability statement

Data and code to reproduce all results are available at https://osf.io/nd2wj/?view_only=870a157ed80f42aaba08b14b58a1b2da.

Supercharge Your Next Research Paper: Research and write your next paper with Jenni AI.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.