Understanding terror states of online users in the context of COVID-19: An application of Terror Management Theory
作者：
Highlights：
• Extends terror management theory in an online social media context during the pandemic.
• Examines death anxiety and online coping mechanisms from terror management theory.
• Combines text analytics and hidden Markov models using a big data set.
• Results support online social connection, achievement and religion coping mechanisms.
• Contributes to the understanding of online individual behavior during pandemics.
摘要
•Extends terror management theory in an online social media context during the pandemic.•Examines death anxiety and online coping mechanisms from terror management theory.•Combines text analytics and hidden Markov models using a big data set.•Results support online social connection, achievement and religion coping mechanisms.•Contributes to the understanding of online individual behavior during pandemics.
论文关键词：Pandemic,Terror management theory,Hidden Markov Models,Defense mechanisms,Social media
论文评审过程：Received 16 September 2020, Revised 16 July 2021, Accepted 23 July 2021, Available online 24 July 2021, Version of Record 28 July 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2021.106967
