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IEEE internet computing. 2020 Dec 11;25(2):84-91. doi: 10.1109/MIC.2020.3040516 Q23.72024

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

新冠疫情下Telegram群聊中的舆论和虚假信息分析 翻译改进

Lynnette Hui Xian Ng  1, Jia Yuan Loke  2

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  • 1 Defence Science and Technology Agency Singapore.
  • 2 Singapore Management University Singapore.

    • DOI: 10.1109/MIC.2020.3040516 PMID: 35938074

    摘要 Ai翻译

    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.

    Keywords：public opinion; misinformation; covid-19; telegram group chat

    关键词：公众舆论; 虚假信息; Covid-19; Telegram群组聊天

    Copyright © IEEE internet computing. 中文内容为AI机器翻译，仅供参考！

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    期刊名：Ieee internet computing

    缩写：IEEE INTERNET COMPUT

    ISSN：1089-7801

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    IF/分区：3.7/Q2

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