(Mis)leading the COVID-19 vaccination discourse on Twitter: an exploratory study of infodemic around the pandemic

(Mis)leading the COVID-19 vaccination discourse on Twitter: an exploratory study of infodemic around the pandemic

In this work, we collect a moderate-sized representative corpus of tweets (over 200 000) pertaining to COVID-19 vaccination spanning for a period of seven months (September 2020–March 2021). Following a transfer learning approach, we utilize a pretrained transformer-based XLNet model to classify twe...

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書目詳細資料
Main Authors:	Sharma, Shakshi, Sharma, Rajesh, Datta, Anwitaman
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering COVID-19 Explainable AI
在線閱讀:	https://hdl.handle.net/10356/170558
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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