(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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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/170558 |
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