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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Edmund W J Lee1, Han Zheng2, Dion H-L Goh1
1Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore.
COVID-19 risk on social media was amplified by specific topics, negative emotions, and shifting global hotspots. Early amplification involved political figures and speculation, highlighting initial distrust and misplaced optimism.
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