A Study of Social Network Messages During the COVID-19 Infodemic: Salient Features and the Propagation of Information Types
| Autor: | Kay Michel, Michael A. King, Gerry Dozier, Brandon Brown, Marcellus Smith |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Social network Coronavirus disease 2019 (COVID-19) business.industry Computer science Internet privacy Rumor 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Harm Salient Helpfulness Criticism Social media 030212 general & internal medicine business |
| Zdroj: | SoutheastCon 2021. |
| Popis: | Amid a world of the COVID-19 pandemic, people often have turned to social media as a means of communicating and receiving information. Within existing social networks one can discover a wide range of messages that vary in sentiment, measure of helpfulness, and/or intended harm. In this paper, we measure the utility of Tweets based on their ability to propagate throughout the Twittersphere as well as the salient features that contribute to their successful propagation. In this work, we consider five types of Tweets that can be classified as: (1) Caution & Advice, (2) Doubt & Criticism, (3) Rumor & Counter-Rumors, (4) Generic Harm, and (5) Non-Situational Information. Our results suggest that, on average, Caution & Advice messages propagate fastest while messages classified as Generic Harm have the slowest propagation. |
| Databáze: | OpenAIRE |
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