Everyday Dynamics of Media Skepticism and Credibility

Otto, Lukas; Thomas, Fabian; Maier, Michaela

doi:10.1007/978-3-658-20765-6_7

Cited by 15 publications

(13 citation statements)

References 51 publications

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“…These studies all rely on panel data, analyzing the fluidity of trust for each person. They show substantial within-person variation in (media) trust (e.g., Fleeson & Leicht, 2006 ; Major & Atwood, 1997 ; Otto et al, 2018 ). Yet, at the same time, it seems that people fluctuate around their individual means ( Fleeson & Leicht, 2006 ) such that differences among individuals remain stable across time ( Baumert et al, 2017 ).…”

Section: Short-term Media Trust Changesmentioning

confidence: 99%

“…With our study, we move beyond classical aggregate long-term analyses of media trust development ( Hanitzsch et al, 2018 ; Newman et al, 2019 ) while adding to psychological studies that measure short-term individual trust changes during arbitrary time intervals ( Fleeson & Leicht, 2006 ; Otto et al, 2018 ). By focusing on short-term, individual media trust developments during the pandemic, we take seriously that communication dynamics do “not occur at all times and in all situations” ( Noelle-Neumann & Petersen, 2004 , p. 349).…”

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confidence: 99%

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Media Trust and the COVID-19 Pandemic: An Analysis of Short-Term Trust Changes, Their Ideological Drivers and Consequences in Switzerland

Adam

Urman

Arlt

et al. 2022

Communication Research

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We analyze short-term media trust changes during the COVID-19 pandemic, their ideological drivers and consequences based on panel data in German-speaking Switzerland. We thereby differentiate trust in political information from different types of traditional and non-traditional media. COVID-19 serves as a natural experiment, in which citizens’ media trust at the outbreak of the crisis is compared with the same variables after the severe lockdown measures were lifted. Our data reveal that (1) media trust is consequential as it is associated with people’s willingness to follow Covid-19 regulations; (2) media trust changes during the pandemic, with trust levels for most media decreasing, with the exception of public service broadcasting; (3) trust losses are hardly connected to ideological divides in Switzerland. Our findings highlight that public service broadcasting plays an exceptional role in the fight against a pandemic and that contrary to the US, no partisan trust divide occurs.

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Section: Short-term Media Trust Changesmentioning

confidence: 99%

mentioning

confidence: 99%

Media Trust and the COVID-19 Pandemic: An Analysis of Short-Term Trust Changes, Their Ideological Drivers and Consequences in Switzerland

Adam

Urman

Arlt

et al. 2022

Communication Research

Self Cite

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“…Alternatively, researchers could design studies with shorter time lags (e.g. daily or even more frequent measurements) to capture short-term effects that are more in line with previous experimental research (Otto, Thomas, & Maier, 2018). While the amount of daily media exposure might no vary much, either, there will likely be more variation over time when researchers consider (actual or probable) exposure to specific content rather than general media use.…”

Section: Discussionmentioning

confidence: 97%

Stable Attitudes and Behaviors as Boundary Conditions of Reinforcing Spirals Models

Scharkow¹,

Bachl²

2018

Preprint

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The reinforcing spirals model (RSM) has quickly become a popular way of thinking about the reciprocal dynamics of media use and effects, not only in political communication. One key assumption of the model is that both exposure to media content and individual attitudes vary over time-if there is no variation, there cannot be any covariation. In this paper, we discuss the assumptions of the RSM regarding intra-individual variation and inter-individual differences in media use and political attitudes. We present empirical results on the temporal stability of different phenomena of interest in political communication, such as media use, campaign involvement, or candidate evaluations, drawing on panel data from two national election studies in the USA and Germany. Our results suggest that, after accounting for imperfect measurement, media use and most political orientations and attitudes are very stable over the course of a campaign, making it rather unlikely to detect patterns corresponding to the RSM. We discuss the usefulness of the RSM and similar dynamic media effects models in light of our results.

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“…the relationship between certain emotions and attention towards political news , traditional linkage studies should not be the method of choice. The same holds true for variables that are directly linked to a specific news itembe it a credibility judgement (Otto, Thomas, and Maier 2018) or obtained media gratifications (Wang, Tchernev, and Solloway 2012). These processes and reactions were, up until now, only assessable via experimental designs that do not account for communication dynamics.…”

Section: Challenge 4: Communication Dynamicsmentioning

confidence: 99%

Linking Media Content and Survey Data in a Dynamic and Digital Media Environment – Mobile Longitudinal Linkage Analysis

et al. 2021

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We introduce a design that is able to face some of the challenges that digital news consumption is posing to traditional media effects methods like linkage analysis. The challenges include (1) memory errors and biases when reporting everyday news media consumption leading to (2) errors when linking mass media outlets to survey data; (3) personalization of media content, as well as (4) short-term dynamic processes. Mobile Intensive Longitudinal Linkage Analysis (MILLA) uses an innovative combination of smartphone data donations to capture media exposure and relevant media content, a mobile experience sampling questionnaire to capture immediate reactions to news, and the content analysis of uploaded news media content to measure media effects. The design is explained by using an example of negativity in the news and its effects on emotional reactions of recipients.

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Everyday Dynamics of Media Skepticism and Credibility

Cited by 15 publications

References 51 publications

Media Trust and the COVID-19 Pandemic: An Analysis of Short-Term Trust Changes, Their Ideological Drivers and Consequences in Switzerland

Media Trust and the COVID-19 Pandemic: An Analysis of Short-Term Trust Changes, Their Ideological Drivers and Consequences in Switzerland

Stable Attitudes and Behaviors as Boundary Conditions of Reinforcing Spirals Models

Linking Media Content and Survey Data in a Dynamic and Digital Media Environment – Mobile Longitudinal Linkage Analysis

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