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Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19

Author

Listed:
  • Si Jiang

    (Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
    School of Cyberspace Security, Beijing University of Posts and Telecommunications, 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
    Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai 200336, China)

  • Binxing Fang

    (Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China)

  • Tingliang Xu

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

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.

Suggested Citation

  • Si Jiang & Hongwei Zhang & Jiayin Qi & Binxing Fang & Tingliang Xu, 2021. "Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4591-:d:543868
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    References listed on IDEAS

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    1. Richins, Marsha L, 1997. "Measuring Emotions in the Consumption Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 127-146, September.
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    Cited by:

    1. Mingwei Li & Qingjin Wang & Ying Cao, 2022. "Understanding Consumer Online Impulse Buying in Live Streaming E-Commerce: A Stimulus-Organism-Response Framework," IJERPH, MDPI, vol. 19(7), pages 1-17, April.
    2. Jiaqi Liu & Jiayin Qi, 2022. "Online Public Rumor Engagement Model and Intervention Strategy in Major Public Health Emergencies: From the Perspective of Social Psychological Stress," IJERPH, MDPI, vol. 19(4), pages 1-22, February.

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