The role of virtual social networks in shaping people's attitudes toward COVID-19 in Iran Article Swipe
Maryam Jahanbakhsh
,
Hossein Bagherian
,
Nahid Tavakoli
,
Asghar Ehteshami
,
Mohammad Sattari
,
Sakineh Saghaeian Nejad Isfahani
,
Majid Jangi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4103/jehp.jehp_642_20
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4103/jehp.jehp_642_20
BACKGROUND: The widespread occurrence of COVID-19 has caused people to seek information from various sources such as virtual social networks, which can positively or negatively affect one's mental status. In this article, we present the role of virtual social networks in shaping people's attitudes toward COVID-19 in Iran. MATERIALS AND METHODS: This is an applied descriptive study, in which 1010 users of virtual social networks were surveyed through an electronic questionnaire. Data were analyzed with SPSS, Excel, and Rapid Miner software. The FP-growth technique was used to investigate the concurrence of choices in multiple-choice questions, and the Mann–Whitney and the Kruskal–Wallis tests were used to determine the correlation of the mean of each dimension with demographic data. Moreover, the Wilcoxon signed-rank, the Shapiro–Wilk, and the Kolmogorov–Smirnov tests were used. RESULTS: Virtual social networks use increased significantly (40%) after the COVID-19 outbreak. According to users, the greatest psychological impact of virtual social networks was the induction of anxiety (46.43%) and the most common use was to learn about COVID-19 prevention and treatment (69.3%). Based on the findings, there were no significant differences between the “awareness,” “behavior intention,” and “attitude and trust” and the users’ marital status, age group, educational degree, and gender. CONCLUSION: Although social networks have enriched the public knowledge, they increased the individuals’ anxiety mostly because of controversial news and disperse of misinformation which in turn misled the users. The social networks play an important role in directing the behavioral inclinations. Accordingly, it is recommended that the authorities in healthcare system establish authentic and formal webpage in these social networks to manage controversial and voluminous information.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
2019-20 coronavirus outbreak
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Virology
Political science
Economic growth
Socioeconomics
Psychology
Sociology
Medicine
Economics
Outbreak
Internal medicine
Disease
Infectious disease (medical specialty)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4103/jehp.jehp_642_20
- OA Status
- gold
- Cited By
- 4
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3155505196
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3155505196Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4103/jehp.jehp_642_20Digital Object Identifier
- Title
-
The role of virtual social networks in shaping people's attitudes toward COVID-19 in IranWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-01Full publication date if available
- Authors
-
Maryam Jahanbakhsh, Hossein Bagherian, Nahid Tavakoli, Asghar Ehteshami, Mohammad Sattari, Sakineh Saghaeian Nejad Isfahani, Majid JangiList of authors in order
- Landing page
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https://doi.org/10.4103/jehp.jehp_642_20Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.4103/jehp.jehp_642_20Direct OA link when available
- Concepts
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Coronavirus disease 2019 (COVID-19), 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Virology, Political science, Economic growth, Socioeconomics, Psychology, Sociology, Medicine, Economics, Outbreak, Internal medicine, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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