Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19
Si Jiang,
Hongwei Zhang,
Jiayin Qi,
Binxing Fang and
Tingliang Xu
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Si Jiang: Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
Hongwei Zhang: Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Jiayin Qi: Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
Binxing Fang: Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
Tingliang Xu: College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
IJERPH, 2021, vol. 18, issue 9, 1-17
Abstract:
Health support has been sought by the public from online social media after the outbreak of novel coronavirus disease 2019 (COVID-19). In addition to the physical symptoms caused by the virus, there are adverse impacts on psychological responses. Therefore, precisely capturing the public emotions becomes crucial to providing adequate support. By constructing a domain-specific COVID-19 public health emergency discrete emotion lexicon, we utilized one million COVID-19 theme texts from the Chinese online social platform Weibo to analyze social-emotional volatility. Based on computed emotional valence, we proposed a public emotional perception model that achieves: (1) targeting of public emotion abrupt time points using an LSTM-based attention encoder-decoder (LAED) mechanism for emotional time-series, and (2) backtracking of specific triggered causes of abnormal volatility in a cognitive emotional arousal path. Experimental results prove that our model provides a solid research basis for enhancing social-emotional security outcomes.
Keywords: social-emotional volatility; COVID-19; cause detection; deep learning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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