2017
DOI: 10.1073/pnas.1618923114
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Emotion shapes the diffusion of moralized content in social networks

Abstract: Political debate concerning moralized issues is increasingly common in online social networks. However, moral psychology has yet to incorporate the study of social networks to investigate processes by which some moral ideas spread more rapidly or broadly than others. Here, we show that the expression of moral emotion is key for the spread of moral and political ideas in online social networks, a process we call "moral contagion." Using a large sample of social media communications about three polarizing moral/… Show more

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Cited by 768 publications
(739 citation statements)
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References 36 publications
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“…One issue with polarization during a pandemic is that it might lead different segments of the population to arrive at different conclusions about the threat in the situation and appropriate actions. Partisans may receive different news because individuals can self-select polarized news sources or partisan 'echo chambers' 92,93 or can communicate in ways that are associated with less cross-partisan information sharing 94 . But in-person political interactions can provide more opportunity for cross-partisan communication 95 (that produce a shared understanding).…”
Section: Culturementioning
confidence: 99%
“…One issue with polarization during a pandemic is that it might lead different segments of the population to arrive at different conclusions about the threat in the situation and appropriate actions. Partisans may receive different news because individuals can self-select polarized news sources or partisan 'echo chambers' 92,93 or can communicate in ways that are associated with less cross-partisan information sharing 94 . But in-person political interactions can provide more opportunity for cross-partisan communication 95 (that produce a shared understanding).…”
Section: Culturementioning
confidence: 99%
“…The success of Obama in the 2008 elections could have been successfully predicted by noticing his widespread appeal amongst American youngsters on Facebook and MySpace (Dalton 2009). Likewise, the claims of US President Donald Trump enforces this idea of the power of social media when he said that Twitter powered him to directly target voters for being successful in the 2016 US election (Brady et al 2017). Besides, Twitter data has been used for the reasonable prediction of electoral outcome before UK 2015 general election (Burnap et al 2016).…”
Section: Discussionmentioning
confidence: 99%
“…General election (Burnap et al 2016), Senate election (Smith and Gustafson 2017), Parliamentary election (Smith and Gustafson 2017), and Wikipedia election (Jankowski-Lorek et al 2013). The election related activities performed by voters (Bode et al 2014) and candidates (Brady et al 2017) can predict forthcoming results. These predictions of election results can be derived by using the data of users of OSNs in many ways.…”
Section: Introductionmentioning
confidence: 99%
“…Collective emotion and its detection method are well discussed in [21]. Collective emotion and its relation to real social phenomena have been also studied [9,16,22,23]. Gilbert and Karahalios constructed an 'Anxiety Index' using blog data from three periods in 2008 and performed a comparison with S&P stock market prices.…”
Section: Introductionmentioning
confidence: 99%