Abstract
PurposeThe purpose of the study is to understand how socially shared misinformation and rumors can enhance the motivation to protect personal interests and enhance social practices of panic buying.Design/methodology/approachThe study employed a number of qualitative data collection methods for the purpose of triangulation, as it can offer thick interpretation and can help to develop a context specific research framework.FindingsThe shared misinformation and rumors on social media developed into psychological, physical and social threats; therefore, people started panic buying to avoid these negative consequences. People believed that there were differences between the information shared by politicians and government officials and reality, such as “everything is under control,” whereas social media showed people standing in long queues and struggling to buy the necessities of life. The shared misinformation and rumors on social media became viral and received social validation, which created panic buying in many countries.Research limitations/implicationsIt is the responsibility of government, politicians, leaders, media and the public to control misinformation and rumors, as many people were unable to buy groceries due either to socio-economic status or their decisions of late buying, which increased depression among people.Originality/valueThe study merged the theory of rumor (TORT) transmission and protection motivation theory (PMT) to understand how misinformation and rumors shared through social media increased global uncertainty and the desire to panic buy across the world.
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Reference102 articles.
1. An intelligent framework using disruptive technologies for COVID-19 analysis;Technological Forecasting and Social Change,2020
2. Social stigma: the hidden threat of COVID-19;Frontiers in Public Health,2020
3. COVID-19: threat and fear in Indonesia;Psychological Trauma: Theory, Research, Practice, and Policy,2020
4. Trends in the diffusion of misinformation on social media;Research and Politics,2019
5. Fake news and COVID-19: modelling the predictors of fake news sharing among social media users;Telematics and Informatics,2020
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