@inproceedings{dadad0f9a4a5495f874b382f2e5fb228,
title = "Identifiability as an “Antidote”: Exploring Emotional Contagion and the Role of Anonymity in Twitter Discussions on Misinformation",
abstract = "Misinformation carries both distorted facts and sophisticated emotional signals. Comparing to facts that could be labeled as true or false, we are more concerned about contaminative negative emotions transferring digitally among users. In this study, we explored an emotional contagion effect among misinformation discussion participants on Twitter. We analyzed the sentiment of 573 tweets in 192 discussion threads. Our result revealed that highly emotional tweets do not have a universal effect on the online discussions, but it affects those individuals with limited social and personal identity cues (i.e., being anonymous). We found that anonymous members of the online discussion are more susceptible to emotional contagions than those are not. We also suggest coping strategies that protect social media users{\textquoteright} emotional well-being during the era COVID-19.",
keywords = "Anonymity, Emotion contagion, Sentiment analysis, SIDE, COVID-19",
author = "Chen, {Chen (Crystal)} and Hao Yuan and Yao, {Mike Z.}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021 ; Conference date: 24-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1007/978-3-030-77626-8_16",
language = "English (US)",
isbn = "9783030776251",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "240--252",
editor = "Gabriele Meiselwitz",
booktitle = "Social Computing and Social Media",
address = "Germany",
}