Conference paper

Appeared in: Proceedings of the ACM Web Conference 2022

Editor list: Laforest, F; Troncy, R; Simperl, Elena

Publication year: 2022

Pages: 3706-3717

eISBN: 978-1-4503-9096-5

DOI Link: https://doi.org/10.1145/3485447.3512266

Conference: The ACM Web Conference 2022 (WWW '22)

Abstract: 

While false rumors pose a threat to the successful overcoming of the COVID-19 pandemic, an understanding of how rumors diffuse in online social networks is – even for non-crisis situations – still in its infancy. Here we analyze a large sample consisting of COVID-19 rumor cascades from Twitter that have been fact-checked by third-party organizations. The data comprises N = 10,610 rumor cascades that have been retweeted more than 24 million times. We investigate whether COVID-19 misinformation spreads more viral than the truth and whether the differences in the diffusion of true vs. false rumors can be explained by the moral emotions they carry. We observe that, on average, COVID-19 misinformation is more likely to go viral than truthful information. However, the veracity effect is moderated by moral emotions: false rumors are more viral than the truth if the source tweets embed a high number of other-condemning emotion words, whereas a higher number of self-conscious emotion words is linked to a less viral spread. The effects are pronounced both for health misinformation and false political rumors. These findings offer insights into how true vs. false rumors spread and highlight the importance of considering emotions from the moral emotion families in social media content.

Harvard Citation style: Solovev, K. and Pröllochs, N. (2022) Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media, in Laforest, F., Troncy, R. and Simperl, E. (eds.) Proceedings of the ACM Web Conference 2022. New York: Association for Computing Machinery. pp. 3706-3717. https://doi.org/10.1145/3485447.3512266

APA Citation style: Solovev, K., & Pröllochs, N. (2022). Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media. In Laforest, F., Troncy, R., & Simperl, E. (Eds.), Proceedings of the ACM Web Conference 2022. (pp. 3706-3717). Association for Computing Machinery. https://doi.org/10.1145/3485447.3512266