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Communication Studies Volume 69, 2018 - Issue 1
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Original Articles

Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity

Zhan XuDepartment of Communication, University of ConnecticutCorrespondence[email protected]
&
Hao GuoDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute
Pages 103-122 | Published online: 19 Dec 2017

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Wei Peng, Sue Lim & Jingbo Meng. (2023) Persuasive strategies in online health misinformation: a systematic review. Information, Communication & Society 26:11, pages 2131-2148.
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Zhan Xu, Mary Laffidy & Lauren Ellis. (2023) Clickbait for climate change: comparing emotions in headlines and full-texts and their engagement. Information, Communication & Society 26:10, pages 1915-1932.
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Kun Yan, Juliana L. Barbati, Kaylin L. Duncan, Echo L. Warner & Stephen A. Rains. (2023) Russian Troll Vaccine Misinformation Dissemination on Twitter: The Role of Political Partisanship. Health Communication 38:8, pages 1591-1600.
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Yuan Wang & Yonghao Chen. (2023) Characterizing discourses about COVID-19 vaccines on Twitter: a topic modeling and sentiment analysis approach. Journal of Communication in Healthcare 16:1, pages 103-112.
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Zhan Xu. (2021) I don’t understand you but I trust you: using computer-aided text analysis to examine medical terminology use and engagement of vaccine online articles. Journal of Communication in Healthcare 14:1, pages 61-67.
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