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How Communication Technology Fosters Individual and Social Wellbeing During the Covid-19 Pandemic: Preliminary Support For a Digital Interaction Model
- Source :
- Journal of Happiness Studies
- Publication Year :
- 2021
- Publisher :
- Springer Netherlands, 2021.
-
Abstract
- The aim of the present study was to test an explanatory model for individual and social wellbeing which incorporates the advantages of using digital technologies during the COVID-19 pandemic. The study was carried out in Italy, one of the countries that has been most severely affected by the pandemic worldwide. The study was designed to include variables that might be specifically pertinent to the uniqueness of the restrictions imposed by the pandemic. Adults living in Italy (n = 1412) completed an online survey during the lockdown period in March 2020. Results showed two distinct digital interaction processes highlighted by the facilitating use of online emotions (“e-motions”) and online social support (“e-support”). In short, e-motions were positively related to posttraumatic growth, which in turn was positively associated with positive mental health and higher engagement in prosocial behaviors. Moreover, individuals who perceived themselves as having greater e-support were characterized by higher levels of positive mental health, which it turn was positively associated with prosocial behaviors. Collectively, these two digital interaction processes suggest that digital technologies appear to be critical resources in helping individuals cope with difficulties raised by the COVID-19 pandemic.
- Subjects :
- Knowledge management
Coronavirus disease 2019 (COVID-19)
Coronavirus-19
COVID-19
Online social support
Positive mental health
Posttraumatic growth
Prosocial behaviors
Social sharing of emotions
Explanatory model
Pandemic
Sociology
business.industry
Mental health
Social relation
Prosocial behavior
Information and Communications Technology
Positive psychology
Psychology
business
Social psychology
Social Sciences (miscellaneous)
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 15737780 and 13894978
- Database :
- OpenAIRE
- Journal :
- Journal of Happiness Studies
- Accession number :
- edsair.doi.dedup.....a6a522bc8e43de22e87dfcf8e1a104a6