Trust Over Use: Examining the Roles of Media Use and Media Trust on Misperceptions in the 2016 US Presidential Election

Hutchens, Myiah J.; Hmielowski, Jay D.; Beam, Michael A.; Romanova, Ekaterina

doi:10.1080/15205436.2021.1904262

Cited by 12 publications

(5 citation statements)

References 39 publications

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“…The universal access to real-time information that social media provides to users (Dwivedi et al, 2018) can lead to supply chain participants becoming highly susceptible to 'confirmation bias' and 'echo chambers' e.g., situations where individuals "hear their own voice" (Bessi, 2016;Boutyline & Willer, 2017;Brugnoli et al, 2019;Jacobson et al, 2016). The influence of echo chambers includes excluding alternate perspectives (Gillespie et al, 2014), a lack of common ground (Layman et al, 2006) and political, administrative, and social gridlock in many contexts (Hutchens et al, 2021;Kim & Kim, 2019). Therefore, an approach of mindfulness and reliability needs to be developed to avoid echo chambers across the supply chain (Butler & Gray, 2006;Dernbecher & Beck, 2017;Thatcher et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19

et al. 2021

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Social media has played a pivotal role in polarising views on politics, climate change, and more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses serious challenges to society as it could enable ‘digital wildfires’ that can wreak havoc worldwide. While the effects of SMIP have been extensively studied, there is limited understanding of the interplay between two key components of this phenomenon: confirmation bias (reinforcing one’s attitudes and beliefs) and echo chambers (i.e., hear their own voice). This paper addresses this knowledge deficit by exploring how manifestations of confirmation bias contributed to the development of ‘echo chambers’ at the height of the Covid-19 pandemic. Thematic analysis of data collected from 35 participants involved in supply chain information processing forms the basis of a conceptual model of SMIP and four key cross-cutting propositions emerging from the data that have implications for research and practice.

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Section: Introductionmentioning

confidence: 99%

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19

et al. 2021

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“…Scientific research and institutions are not without problems, from news biases to structural discrimination in healthcare (Bond et al, 2021). However, the idea that expert institutions and mainstream news have nefarious motivations can foster distrust and influence information-seeking in ways that undermine democratic norms and values (Hutchens et al, 2021). Our research provides initial support for concerns some have expressed about DYOR messages .…”

Section: Discussionmentioning

confidence: 58%

Support for “doing your own research” is associated with COVID-19 misperceptions and scientific mistrust

Chinn

Hasell

2023

HKS Misinfo Review

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Amid concerns about misinformation online and bias in news, there are increasing calls on social media to “do your own research.” In an abundant information environment, critical media consumption and information validation are desirable. However, using panel survey data, we find that positive perceptions toward “doing your own research” are associated with holding more misperceptions about COVID-19 and less trust in science over time. Support for “doing your own research” may be an expression of anti-expert attitudes rather than reflecting beliefs about the importance of cautious information consumption.

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“…In the survey, participants were provided with the following definitions: mainstream media refers to mass media organizations that report news aligning with widely held views, while partisan media refers to outlets operated by individuals or groups who strongly advocate for a specific political party, cause, or person. Previous studies have shown that trust in mainstream media is inversely related to belief in misinformation (Ognyanova et al, 2020; Valenzuela et al, 2022), while trust in partisan media is positively associated with it (Hutchens et al, 2021). We also included the variable “trust in various governments” as we investigated the impact of a state-sponsored disinformation campaign in the context of the Russia–Ukraine war.…”

Section: Methodsmentioning

confidence: 99%

“…In a separate study, Ognyanova et al (2020) analyzed both survey data and users' browsing history and found that those who consumed misinformation exhibited less trust in the media. Hutchens et al (2021) conducted a survey in which participants rated their belief in political misinformation and their level of trust in different partisan media. The study found a positive association between trust in partisan media outlets and the belief in misinformation, especially when the false claims aligned with the participants' political views.…”

Section: Trust In Mediamentioning

confidence: 99%

Falling for Russian Propaganda: Understanding the Factors that Contribute to Belief in Pro-Kremlin Disinformation on Social Media

Soares,

Gruzd,

Mai

2023

Social Media + Society

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As Russia launched its full-scale invasion of Ukraine in February 2022, social media was rife with pro-Kremlin disinformation. To effectively tackle the issue of state-sponsored disinformation campaigns, this study examines the underlying reasons why some individuals are susceptible to false claims and explores ways to reduce their susceptibility. It uses linear regression analysis on data from a national survey of 1,500 adults (18+) to examine the factors that predict belief in pro-Kremlin disinformation narratives regarding the Russia–Ukraine war. Our research finds that belief in Pro-Kremlin disinformation is politically motivated and linked to users who: (1) hold conservative views, (2) trust partisan media, and (3) frequently share political opinions on social media. Our findings also show that exposure to disinformation is positively associated with belief in disinformation. Conversely, trust in mainstream media is negatively associated with belief in disinformation, offering a potential way to mitigate its impact.

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Trust Over Use: Examining the Roles of Media Use and Media Trust on Misperceptions in the 2016 US Presidential Election

Cited by 12 publications

References 39 publications

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19

A Confirmation Bias View on Social Media Induced Polarisation During Covid-19

Support for “doing your own research” is associated with COVID-19 misperceptions and scientific mistrust

Falling for Russian Propaganda: Understanding the Factors that Contribute to Belief in Pro-Kremlin Disinformation on Social Media

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