Analyzing Public Opinion and Misinformation in a COVID-19 Telegram Group Chat

被引：26

作者：

Ng, Lynnette Hui Xian ^{[1
]}

Loke, Jia Yuan ^{[2
]}

机构：

[1] Def Sci & Technol Agcy, Singapore, Singapore

[2] Singapore Management Univ, Singapore, Singapore

来源：

IEEE INTERNET COMPUTING | 2021年 / 25卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Social networking (online); COVID-19; Pandemics; Internet; Public healthcare; Government; Special issues and sections; Social media; Misinformation; Skepticism; Telegram; Group chats; Topic Analysis; Sentiment Analysis; MEDIA; INFORMATION; US;

D O I：

10.1109/MIC.2020.3040516

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We analyze a Singapore-based COVID-19 Telegram group with more than 10000 participants. First, we study the group's opinion over time, focusing on five dimensions: participation, sentiment, negative emotions, topics, and message types. We find that participation peaked when the Ministry of Health raised the disease alert level, but this engagement was not sustained. Second, we investigate the prevalence of, and reactions to, authority-identified misinformation in the group. We find that authority-identified misinformation is rare, and that participants affirm, deny, and question misinformation. Third, we explore searching for user skepticism as one strategy for identifying misinformation, finding misinformation not previously identified by authorities.

引用

页码：84 / 90

页数：7

共 14 条

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[2]

Brennen JS., 2020, Types, sources, and claims of COVID-19 misinformation, P13

[3]

Caetano J., 2018, ARXIV180400397

[4] Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak [J].