The role of the information environment during the first COVID-19 wave in Germany

ABSTRACT The COVID-19 pandemic has been accompanied by intense debates about the role of the information environment. On the one hand, citizens learn from public information campaigns and news coverage and supposedly adjust their behaviours accordingly; on the other, there are fears of widespread misinformation and its detrimental effects. Analyzing the posts of the most important German information providers published via Facebook, this paper first identifies a uniform salience of subtopics related to COVID-19 across different types of information sources that generally emphasized the threats to public health. Next, using a large survey conducted with German residents during the first COVID-19 wave in March 2020 we investigate how information exposure relates to perceptions, attitudes and behaviours concerning the pandemic. Regression analyses show that getting COVID-19-related information from a multitude of sources has a statistically significant and positive relationship with public health outcomes. These findings are consistent even across the ideological left/right spectrum and party preferences. These consistent correlational results demonstrate that during the first wave of COVID-19, a uniform information environment went hand in hand with a cautious public and widely accepted mitigation measures. Nonetheless, we discuss these findings against the backdrop of an increased politicization of public-health measures during later COVID-19 waves.

[1]  T. Rothmund,et al.  Psychological underpinnings of pandemic denial - patterns of disagreement with scientific experts in the German public during the COVID-19 pandemic , 2022, Public understanding of science.

[2]  Johannes Breuer,et al.  Post Post-Broadcast Democracy? News Exposure in the Age of Online Intermediaries , 2021, American Political Science Review.

[3]  A. Guess (Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets , 2021 .

[4]  N. Banholzer,et al.  Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave , 2021, medRxiv.

[5]  G. Alpers,et al.  Dealing With the COVID-19 Infodemic: Distress by Information, Information Avoidance, and Compliance With Preventive Measures , 2020, Frontiers in Psychology.

[6]  C. Mudde,et al.  Victims of the Pandemic? European Far-Right Parties and COVID-19 , 2020, Nationalities Papers.

[7]  Sebastian Stier,et al.  Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field , 2019, Social Science Computer Review.

[8]  S. Soroka,et al.  Politicization and Polarization in COVID-19 News Coverage , 2020, Science communication.

[9]  S. Greer,et al.  Denial and Distraction: How the Populist Radical Right Responds to COVID-19 Comment on "A Scoping Review of PRR Parties’ Influence on Welfare Policy and its Implication for Population Health in Europe" , 2020, International journal of health policy and management.

[10]  S. Galletta,et al.  The Effect of Fox News on Health Behavior During COVID-19 , 2020, SSRN Electronic Journal.

[11]  S. Bhatt,et al.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe , 2020, Nature.

[12]  Bernd Weiss,et al.  Investigating selection bias of online surveys on coronavirus-related behavioral outcomes , 2020 .

[13]  M. Hameleers,et al.  Feeling “disinformed” lowers compliance with COVID-19 guidelines: Evidence from the US, UK, Netherlands and Germany , 2020, Harvard Kennedy School Misinformation Review.

[14]  Svenja Boberg,et al.  Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis - A Computational Content Analysis , 2020, ArXiv.

[15]  Jean-Pierre Dubé,et al.  The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic , 2020, SSRN Electronic Journal.

[16]  R. Imhoff,et al.  A Bioweapon or a Hoax? The Link Between Distinct Conspiracy Beliefs About the Coronavirus Disease (COVID-19) Outbreak and Pandemic Behavior , 2020, Social psychological and personality science.

[17]  Svenja Boberg,et al.  Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis - A Computational Content Analysis , 2020, ArXiv.

[18]  Johannes Breuer,et al.  How social network sites and other online intermediaries increase exposure to news , 2020, Proceedings of the National Academy of Sciences.

[19]  Duncan Watts,et al.  Evaluating the fake news problem at the scale of the information ecosystem , 2019, Science Advances.

[20]  B MajUrmimala,et al.  Exploring the “Space” , 2019 .

[21]  Joshua A. Tucker,et al.  Less than you think: Prevalence and predictors of fake news dissemination on Facebook , 2019, Science Advances.

[22]  S. Kessel,et al.  Beyond protest and discontent: A cross-national analysis of the effect of populist attitudes and issue positions on populist party support , 2018 .

[23]  Bella Struminskaya,et al.  Establishing an Open Probability-Based Mixed-Mode Panel of the General Population in Germany , 2018 .

[24]  Erik Albæk,et al.  Measuring Media Diet in a High-Choice Environment - Testing the List-Frequency Technique , 2016 .

[25]  Michael Scharkow,et al.  The Accuracy of Self-Reported Internet Use—A Validation Study Using Client Log Data , 2016 .

[26]  Michael Röder,et al.  Exploring the Space of Topic Coherence Measures , 2015, WSDM.

[27]  C. Hennessy,et al.  Competing Rhetoric Over Time: Frames Versus Cues , 2015 .

[28]  Xiaohui Yan,et al.  A biterm topic model for short texts , 2013, WWW.

[29]  James Curran,et al.  Media Systems and the Political Information Environment: A Cross-National Comparison , 2010 .

[30]  James N. Druckman,et al.  Framing Public Opinion in Competitive Democracies , 2007, American Political Science Review.

[31]  D. Rucinski The Nature and Origins of Mass Opinion. , 1994 .