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A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic.

, , , and . DG.O, page 1008-1010. ACM, (2024)

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Topical and semantic aspects of #marchforourlives., and . ASIST, volume 55 of Proc. Assoc. Inf. Sci. Technol., page 772-774. Wiley, (2018)Analyzing Political Information Network of the U.S. Partisan Public on Twitter.. iConference, volume 10766 of Lecture Notes in Computer Science, page 453-463. Springer, (2018)Racist Framing through Stigmatized Naming: A Topical and Geo-locational Analysis of #Chinavirus and #Chinesevirus on Twitter., and . ASIST, volume 58 of Proc. Assoc. Inf. Sci. Technol., page 70-79. Wiley, (2021)A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic., , , and . DG.O, page 1008-1010. ACM, (2024)Sentiment analysis and topic extraction of the twitter network of #prayforparis.. ASIST, volume 53 of Proc. Assoc. Inf. Sci. Technol., page 1-4. Wiley, (2016)Network typology, information sources, and messages of the infodemic twitter network under COVID -19.. ASIST, volume 57 of Proc. Assoc. Inf. Sci. Technol., Wiley, (2020)Racial Attacks during the COVID -19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception., , and . ASIST, volume 58 of Proc. Assoc. Inf. Sci. Technol., page 573-576. Wiley, (2021)Delving into Data Science Methods in Response to the COVID -19 Infodemic., , , , and . ASIST, volume 59 of Proc. Assoc. Inf. Sci. Technol., page 555-558. Wiley, (2022)Connective power of the twitter networks: Discovering the reverse agenda-setting effects of hashtag activism through topic modeling.. ASIST, volume 56 of Proc. Assoc. Inf. Sci. Technol., page 629-630. Wiley, (2019)