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We discover a statistically significant negative correlation between the sentiment of his messages and the number of Covid-19 cases in the United States, indicating an effect on the tone of his tweets as the pandemic took its toll on American lives and economy. Furthermore, we also witness a gradual shift from positive to negative sentiment in his messages mentioning China and coronavirus together.<\/jats:p>","DOI":"10.1145\/3428090","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T17:09:25Z","timestamp":1604077765000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Tweeting During the Covid-19 Pandemic"],"prefix":"10.1145","volume":"2","author":[{"given":"Ussama","family":"Yaqub","sequence":"first","affiliation":[{"name":"Lahore University of Management Sciences, Lahore, Pakistan"}]}],"member":"320","published-online":{"date-parts":[[2020,11,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJWBC.2011.041206"},{"key":"e_1_2_1_2_1","volume-title":"South China Morning Post. Retrieved","author":"AFP.","year":"2020","unstructured":"AFP. 2020 . 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