Sunday, June 25, 2023

What Makes News Sharable on Social Media?

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What Makes News Sharable on Social Media?Chen, X., Pennycook, G., & Rand, D. (2023). Journal of Quantitative Description: Digital Media, 3.   – “With the rise of social media, everyone has the potential to be both a consumer and producer of online content. Although one might assume that people share news because they believe it to be true, worldwide concerns about the spread of misinformation suggest that truthfulness may not be a dominant driver of sharing online. Across three studies (total N=3,492), we investigate what content dimensions are associated with social media sharing intentions for a wide range of news headlines. 

When we examine the relationships between content dimensions using factor analysis, we consistently find separate factors capturing perceived accuracy and evocativeness. The perceived accuracy factor was positively correlated with both sharing intentions and the headline’s objective veracity. However, while the evocativeness factor was also positively correlated with sharing intentions, it was consistently negatively correlated with the headline’s objective veracity.”

See also The Role of Mental Representation in Sharing Misinformation Online – “Fuzzy-Trace Theory posits that people will be more likely to share misinformation online if it promotes gist mental representations that cue motivationally-relevant values. In this paper, we test these predictions by examining the combined roles of mental representation and valenced affect in decisions to share misinformative articles on Facebook. 

We present the results of three experiments and two correlational studies providing evidence for Fuzzy-Trace Theory’s predictions. In Studies 1 and 2, we use the largest public dataset of Facebook behavior available to researchers to test the hypothesis that proxies for gist representations in text are associated with to decisions to share information online. Study 3 identifies two mechanisms that are theorized to drive sharing: gist-based mental representation and epistemic valence endorsements – i.e., evaluations about the truth, plausibility, accuracy, etc., of an article. Study 4 confirms that these valence endorsements and endorsement of the correct gist are associated with increased intentions to share misinformation. 

Finally, in Study 5, we develop a gist-based intervention based on these mechanisms, show that it can reduce intentions to share misinformation, and demonstrate that these findings replicate. Results provide empirical support for Fuzzy-Trace Theory’s predictions regarding how to reduce sharing of misinformation on social media.”

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