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1.
Psicothema ; 34(3): 365-374, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1954743

ABSTRACT

BACKGROUND: Previous research about use of Social Networking Sites (SNS) use during the COVID-19 lockdown has examined benefits and risks of SNS use (i.e., support through SNS, problematic SNS use and interaction about COVID-19) without comparing them. This study has two objectives: (i) to evaluate which SNS uses (problematic SNS use and interaction about COVID-19 on SNS) predict increased emotional distress, and (ii) to analyse if social support and interaction about COVID-19 mediated the relationship between time spent on SNS and increased emotional distress. METHOD: A total of 1,003 participants (75.5% women) over 18 years old took part (M = 42.33; SD = 14.32 years). Three hierarchical linear regressions were performed for the first objective and a path analysis was performed for the second. RESULTS: Results showed that negative social comparison on SNS had the highest positive regression weight, followed by interaction about COVID-19 and addictive consequences. Also, an indirect effect of time spent on SNS on anxiety, depression, and life satisfaction through interaction about COVID-19 and support through SNS was found. CONCLUSIONS: The results indicate that comparative SNS use is the best predictor of emotional distress. The mediation model proposed was confirmed, highlighting the importance of assessing specific SNS uses.


Subject(s)
COVID-19 , Social Media , Adolescent , Communicable Disease Control , Female , Humans , Male , Risk Assessment , Social Networking
2.
Comput Human Behav ; 124: 106895, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1252560

ABSTRACT

The outbreak of the coronavirus (COVID-19) disease is overwhelming resources, economies and countries around the world. Millions of people have been infected and hundreds of thousands have succumbed to the virus. Research regarding the coronavirus pandemic is published every day. However, there is limited discourse regarding societal perception. Thus, this paper examines blame attribution concerning the origin and propagation of the coronavirus crisis according to public perception. Specifically, data were extracted from the social media platform Twitter concerning the coronavirus during the early stages of the outbreak and further investigated using thematic analysis. The findings revealed the public predominantly blames national governments for the coronavirus pandemic. In addition, the results documented the explosion of conspiracy theories among social media users regarding the virus' origin. In the early stages of the pandemic, the blame tendency was most frequent to conspiracy theories and restriction of information from the government, whilst in the later months, responsibility had shifted to political leaders and the media. The findings indicate an emerging government mistrust that may result in disregard of preventive health behaviours and the amplification of conspiracy theories, and an evolving dynamic of blame. This study argues for a transparent, continuing dialogue between governments and the public to stop the spread of the coronavirus.

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