Intentional or inadvertent fake news sharing? Fact-checking warnings and users’ interaction with social media content (original) (raw)
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Journal of Media Research
Nowadays controversial stories, conspiracy theories, or false information are massively shared on social media. Fake news is supported by the online environment because it generates traffic and financial benefits (Tandoc et al., 2018). It is a chain — users share the news on their feed, then they receive the same type of content, later on, creating the illusion of veracity through popularity. Media credibility becomes more and more relevant in the context of the proliferation of fake news. The present paper addresses the mediating role of source and message credibility in relationship with the engagement with ‘poor journalistic’ content. We aimed to identify the effects of media reputation and of the facticity of the news on (digital) behavior such as the intent to disseminate or to comment on fake news on social media and also on discussing these contents with friends. For this purpose, we applied a 2x2 between subjects online experiment by manipulating the (1) the source (high vs....
PLOS ONE
Individuals who encounter false information on social media may actively spread it further, by sharing or otherwise engaging with it. Much of the spread of disinformation can thus be attributed to human action. Four studies (total N = 2,634) explored the effect of message attributes (authoritativeness of source, consensus indicators), viewer characteristics (digital literacy, personality, and demographic variables) and their interaction (consistency between message and recipient beliefs) on self-reported likelihood of spreading examples of disinformation. Participants also reported whether they had shared real-world disinformation in the past. Reported likelihood of sharing was not influenced by authoritativeness of the source of the material, nor indicators of how many other people had previously engaged with it. Participants' level of digital literacy had little effect on their responses. The people reporting the greatest likelihood of sharing disinformation were those who thought it likely to be true, or who had pre-existing attitudes consistent with it. They were likely to have previous familiarity with the materials. Across the four studies, personality (lower Agreeableness and Conscientiousness, higher Extraversion and Neuroticism) and demographic variables (male gender, lower age and lower education) were weakly and inconsistently associated with selfreported likelihood of sharing. These findings have implications for strategies more or less likely to work in countering disinformation in social media.
How does Information Spread? A Study of True and Fake News
2019
The intentional and non-intentional use of social media platforms resulting in digital wildfires of misinformation has increased significantly over the last few years. However, the factors that influence this rapid spread in the online space remain largely unknown. We study how believability and intention to share information are influenced by multiple factors in addition to confirmation bias. We conducted an experiment where a mix of true and false articles were evaluated by study participants. Using hierarchical linear modelling to analyze our data, we found that in addition to confirmation bias, believability is influenced by source endorser credibility and argument quality, both of which are moderated by the type of information – true or false. Source likeability also had a positive main effect on believability. After controlling for belief and confirmation bias, intention to share information was affected by source endorser credibility and information source likeability.