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【學術講座】Covid-19 discussions on Twitter: Identifying key issues

2022-01-07 09:10

2022年1月6日manbetx被锁定 信息資源研究中心和國際信息科學與技術學會ASIS&T SIG-KM擬共同舉辦網絡研討會,邀請Mike Thelwall教授開展講座Covid-19 discussions on Twitter: Identifying key issues,歡迎各位老師和同學在線參加!

主講人:Mike Thelwall教授

(Journal of the Association for Information Science and Technology副主編)

主題Covid-19 discussions on Twitter: Identifying key issues

時 間:2022年1月6日21:00-22:00

地 點:騰訊會議室(ID: 139-918-042)

https://meeting.tencent.com/dm/MnYAbzkCaDkP

講座內容

This webinar will talk about discussions of Covid-19 on Twitter, summarizing four studies and emphasizing the methods used to investigate Twitter. The first (Thelwall & Thelwall, 2020) identifies Covid-19 related themes that resonated on English language Twitter by investigating the most retweeted topics. Popular tweets in the strange situation of the first lockdowns helped build support for social distancing, criticized governments, supported key workers, supported others through social isolation. The second (Thelwall, 2021a) reports a retrospective analysis of the level of interest in Covid-19 vaccines on Twitter, showing that the Pfizer-BioNTech phase 3 trials results were the key event that converted this from a minor to major issue. The third (Thelwall et al., 2021) investigates how Covid-19 vaccine hesitancy was expressed up to 5 December 2020, finding that it was mostly tweeted about by right-wingers, with some exceptions. The final paper (Thelwall, 2021b) found international differences in English language tweeting about Covid-19 vaccinations from 5 December 2020 to 21 March 2021. Not all countries had prominent unofficial experts providing commentary and the concept of vaccine kindness (#VaccineMaitri) was only expressed in India. The talk will explain how Twitter became much easier to research at the start of 2021 when academics were allowed free access to historical tweets. It will discuss the word association thematic analysis method (Thelwall, 2021c) used to identify key themes within large collections of tweets from this source.

主講人簡介

Mike Thelwall 是英國University of Wolverhampton 的數據科學教授。他從社會科學角度將數據科學方法應用於社交媒體度量、情感分析、網絡計量等領域,為推特、社交網絡、Youtube和各類鏈接與影響測度開發了量化網絡方法,為聯合國開發計劃署(UNDP)等組織進行了影響力評估。他是負責任的研究度量英國論壇(the UK Forum for Responsible Research Metrics)成員、Journal of the Association for Information Science and Technology 副主編,出版4部著作,發表410篇期刊論文,2017-2021連續五年被評為全球社會科學高被引研究者,入選斯坦福大學發布的全球前2%頂尖科學家榜單,在Information & Library Science分類榜單中排名前二。

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