Dataset Information

The relationship between political affiliation and beliefs about sources of "fake news".

ABSTRACT: The 2016 US Presidential campaign saw an explosion in popularity for the term "fake news." This phenomenon raises interesting questions: Which news sources do people believe are fake, and what do people think "fake news" means? One possibility is that beliefs about the news reflect a bias to disbelieve information that conflicts with existing beliefs and desires. If so, then news sources people consider "fake" might differ according to political affiliation. To test this idea, we asked people to tell us what "fake news" means, and to rate several news sources for the extent to which each provides real news, fake news, and propaganda. We found that political affiliation influenced people's descriptions and their beliefs about which news sources are "fake." These results have implications for people's interpretations of news information and for the extent to which people can be misled by factually incorrect journalism.

SUBMITTER: Michael RB

PROVIDER: S-EPMC7880518 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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The relationship between political affiliation and beliefs about sources of "fake news".

Michael Robert B RB Breaux Brooke O BO

Cognitive research: principles and implications 20210212 1

The 2016 US Presidential campaign saw an explosion in popularity for the term "fake news." This phenomenon raises interesting questions: Which news sources do people believe are fake, and what do people think "fake news" means? One possibility is that beliefs about the news reflect a bias to disbelieve information that conflicts with existing beliefs and desires. If so, then news sources people consider "fake" might differ according to political affiliation. To test this idea, we asked people to ...[more]

PMID: 33580444

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Project description:IntroductionMisinformation surrounding COVID-19 poses a global public health problem that adversely affects governments' abilities to mitigate the disease and causes accidental deaths and self-harm due to false beliefs about the virus, prevention measures, vaccines and cures. We aim to examine the relationship between exposure to and trust in COVID-19 news (from Television, social media, interpersonal communication) and information sources (healthcare experts, government, clerics) and belief in COVID-19 myths and false information, as well as critical verification practices before posting on social media.MethodsWe use a cross-sectional researcher-administered phone survey of adults living in Lebanon between March 27 and April 23, 2020.ResultsThe sample included 56.1% men and 43.9% women, 37.9% with a university degree, 63.0% older than 30, and 7% with media literacy training. Those who trust COVID-19 news from social media [95%CI:(1.05-1.52)] and interpersonal communication [95%CI:(1.25-1.82)], and those who trust information from clerics [95%CI:(1.25-1.82)] were more likely to believe in COVID-19 myths and false information. University graduates [95%CI:(0.25-0.51)] and those who trust information from government [95%CI:(0.65-0.89] were less likely to believe in myths and false information. Those who believe in COVID-19 myths and false information [95%CI:(0.25-0.70)] were less likely to engage in critical social media posting practices. Only those who underwent media literacy training [95%CI:(1.24-6.55)] were more likely to engage in critical social media posting practices.ConclusionHigher education and trust in information from government contributed to decreasing belief in COVID-19 myths and false information. Trust in news from social media, interpersonal communication and clerics contributed to increasing belief in COVID-19 myths and false information, which in turn contributed to less critical social media posting practices, thereby exacerbated the infodemic. Media literacy training contributed to increasing critical social media posting practices, thereby played a role in mitigating the infodemic.

Project description:BackgroundProliferation of misinformation in digital news environments can harm society in a number of ways, but its dangers are most acute when citizens believe that false news is factually accurate. A recent wave of empirical research focuses on factors that explain why people fall for the so-called fake news. In this scoping review, we summarize the results of experimental studies that test different predictors of individuals' belief in misinformation.MethodsThe review is based on a synthetic analysis of 26 scholarly articles. The authors developed and applied a search protocol to two academic databases, Scopus and Web of Science. The sample included experimental studies that test factors influencing users' ability to recognize fake news, their likelihood to trust it or intention to engage with such content. Relying on scoping review methodology, the authors then collated and summarized the available evidence.ResultsThe study identifies three broad groups of factors contributing to individuals' belief in fake news. Firstly, message characteristics-such as belief consistency and presentation cues-can drive people's belief in misinformation. Secondly, susceptibility to fake news can be determined by individual factors including people's cognitive styles, predispositions, and differences in news and information literacy. Finally, accuracy-promoting interventions such as warnings or nudges priming individuals to think about information veracity can impact judgements about fake news credibility. Evidence suggests that inoculation-type interventions can be both scalable and effective. We note that study results could be partly driven by design choices such as selection of stimuli and outcome measurement.ConclusionsWe call for expanding the scope and diversifying designs of empirical investigations of people's susceptibility to false information online. We recommend examining digital platforms beyond Facebook, using more diverse formats of stimulus material and adding a comparative angle to fake news research.

Dataset Information

The relationship between political affiliation and beliefs about sources of "fake news".

Publications

The relationship between political affiliation and beliefs about sources of "fake news".

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