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Post Post-Broadcast Democracy? News Exposure in the Age of Online Intermediaries

Published online by Cambridge University Press:  29 October 2021

SEBASTIAN STIER*
Affiliation:
GESIS – Leibniz Institute for the Social Sciences, Germany
FRANK MANGOLD*
Affiliation:
University of Hohenheim, Germany
MICHAEL SCHARKOW*
Affiliation:
Johannes Gutenberg University Mainz, Germany
JOHANNES BREUER*
Affiliation:
GESIS – Leibniz Institute for the Social Sciences, Germany, and Center for Advanced Internet Studies, Germany
*
Sebastian Stier, Senior Researcher, Department Computational Social Science, GESIS – Leibniz Institute for the Social Sciences, Germany, sebastian.stier@gesis.org.
Frank Mangold, Postdoctoral Researcher, Department of Media Research and Media Use, University of Hohenheim, Germany, frank.mangold@uni-hohenheim.de.
Michael Scharkow, Professor, Department of Communication, Johannes Gutenberg University, Mainz, Germany, scharkow@uni-mainz.de.
Johannes Breuer, Senior Researcher, Department Survey Data Curation, GESIS – Leibniz Institute for the Social Sciences, Germany, and Team Leader, Team Research Data and Methods, Center for Advanced Internet Studies (CAIS), Germany, johannes.breuer@gesis.org.
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Abstract

Online intermediaries such as social network sites or search engines are playing an increasingly central role in democracy by acting as mediators between information producers and citizens. Academic and public commentators have raised persistent concerns that algorithmic recommender systems would negatively affect the provision of political information by tailoring content to the predispositions and entertainment preferences of users. At the same time, recent research indicates that intermediaries foster exposure to news that people would not use as part of their regular media diets. This study investigates these unresolved questions by combining the web browsing histories and survey responses of more than 7,000 participants from six major democracies. The analysis shows that despite generally low levels of news use, using online intermediaries fosters exposure to nonpolitical and political news across countries and personal characteristics. The findings have implications for scholarly and public debates on the challenges that high-choice digital media environments pose to democracy

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Letter
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Probability of News Exposure, Conditional on the Previous VisitNote: Estimated marginal probabilities and 99% confidence intervals from a logistic regression model with person-level random intercepts. N = 27,028,342 domain visits. Subsequent URLs of the same domain were merged. Figure S7 shows the model results for political news visits.

Figure 1

FIGURE 2. Within-Person Effects of Daily Intermediary Use on Daily News ExposureNote: Within-person Poisson regression coefficients and 99% confidence intervals from REWB models. N = 7,754 persons; 486,789 person-days. Figure S8 displays the estimated variability of the effects.

Figure 2

Figure 3. Variability of Within-Person Effects across Countries and Personal CharacteristicsNote: Regression coefficients and 99% confidence intervals from moderation analyses of the random within-person slopes of the REWB model. Coefficients describe how, for any level of the moderating variable, the within-person effects of using intermediaries on news exposure deviated from the fixed effects displayed in Figure 2. Reference categories are “US” and “Education low.” Age was divided by 10 before the estimation to improve interpretation. N = 7,622 persons; 478,647 person-days.

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