Social media platforms are facing increasing tensions in balancing the desire to maintain freedom of expression with limiting the spread of fake news and misinformation. This study investigates whether giving primacy to the source of misinformation on Facebook influences users' sharing behaviour. Two experimental studies show that when fake news is presented in a source‐primacy format, users are less likely to share the post because of reduced trust in the message and increased perceptions of deceptive intent. Additionally, this effect persists only when the person sharing the fake news has a weak interpersonal relationship with the receiver. The study extends current understanding of how misinformation is shared and provides insights into how presentation formats can be used to limit the spread of fake news without restricting freedom of speech.
The use of contact‐tracing apps to curb the spreading of the COVID‐19 pandemic has stimulated social media debates on consumers' privacy concerns about the use and storage of sensitive data and on conspiracy theories positing that these apps are part of plans against individuals' freedom. By analyzing the type of language of tweets, we found which words, linguistic style, and emotions conveyed by tweets are more likely to be associated with consumers' privacy concerns and conspiracy theories and how they affect virality. To do so, we analyze a set of 5615 tweets related to the Italian tracing app “Immuni”. Results suggest that consumers' privacy concerns and conspiracy theories belong to different domains and exert different effects on the virality of tweets. Furthermore, the characteristics of the text (namely, complexity, certainty and emotions) cue different Twitter users' behaviors. This study helps researchers and managers to infer the psychological mechanisms that lead people to spread tweets about privacy concerns and conspiracy theories as well as how these texts impact the user who receives it.
Scholars in different scientific fields and practitioners are analyzing the rise of production and diffusion of fake news and problematic information that is rapidly contaminating the digital world. Although problematic information might seriously affect brands, marketing and consumer behavior research is surprisingly limited. This article aims to provide a research agenda for marketing by analyzing the previous literature and identifying relevant insights suggested by different disciplines. Based on the review of 86 interdisciplinary scientific papers and 5 managerial reports, we speculate on future avenues for consumer behavior, marketing strategy, and marketing ethics research about fake news and problematic information.
In the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.
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