Big Data Analysis of Terror Management Theory's Predictions in the COVID-19 Pandemic.

ABSTRACT: The current study aimed to address the limitations of the terror management theory literature by using big data analysis to examine the theory's predictions in the COVID-19 pandemic. Specifically, Google Trends were examined before and after the first COVID-19 case was identified in Singapore. The results showed that there was a significant increase in mortality salience, intergroup conflict, and prosocial behavior, and a significant decrease in materialism after the first COVID-19 case was identified. However, no significant differences were found for anxiety. Limitations include the assumption that search terms reflect intentions that would eventually lead to a relevant behavior and the lack of data from other sources to corroborate with the results from Google Trends. Future research co

SUBMITTER: Chew PKH 

PROVIDER: S-EPMC9024090 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature