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:: Volume 2, Issue 3 (Autumn 2024) ::
Health Res Develop 2024, 2(3): 70-78 Back to browse issues page
Investigating people's views on cyberspace and rumors published in the context of Covid-19 in Khuzestan province
Banafsheh Mahjoob1 , Nargess Taei2 , Mehdi Mojadam * 3
1- Ahvaz Jundishapur University of Medical Sciences, Ahvaz
2- Ahvaz Jundishapur University of Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz
3- Assistant Professor of Health in Disasters and Emergencies, Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , mehdi.8984@yahoo.com
Abstract:   (203 Views)
Introduction: With the onset of the coronavirus pandemic, the spread of misinformation on social media was increasing daily. Disease outbreaks often create misconceptions that mislead people about the dangers they face and how best to protect themselves. Therefore, this study was conducted with the aim of investigating people's views on cyberspace and rumors about the coronavirus in Khuzestan province.
Materials and Methods: The present study was a cross-sectional study using quantitative online survey data. The research tool is a structured questionnaire is about checking rumors and false information about the corona virus in cyber space (30 questions) and the knowledge of using cyber space (13 questions). Descriptive and analytical statistics were used to analyze the data with the help of Stata12 software.
Results: Out of 1042 respondents, 748 were women and 412 were 25-34 years old. The mean (standard deviation) of misinformation published about the coronavirus disease was 105.3 (12.7) and people's knowledge about cyberspace was 19.7 (3.3). No statistically significant correlation was observed between the amount of misinformation published and people's knowledge of cyberspace about the coronavirus disease (p value = 0.2). There was a statistically significant difference in the mean of misinformation and rumors between age groups (p value = 0.003), education level (p value = 0.0001) and job status (p value = 0.0001).
Conclusion: According to the results, programs should be set up to increase awareness and knowledge of the public in order to use virtual space and strategies to prevent the use of false information. Multi-stakeholder interventions are necessary to curb this phenomenon and use the power of social media to disseminate reliable and verified information.
 
Keywords: Covid-19, misinformation, social media, Knowledge
Full-Text [PDF 1162 kb]   (38 Downloads)    
Type of Study: Original | Subject: Special
Received: 2024/06/1 | Accepted: 2024/12/13 | Published: 2024/10/31
References
1. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42. [DOI:10.1001/jama.2020.2648] [PMID]
2. COVID-19 Coronavirus Pandemic [Internet]. 2024 [Updated 2024 April 13]. Available from:https://www.worldometers.info/coronavirus
3. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. New England journal of medicine. 2020. 20;382(8):727-33. [DOI:10.1056/NEJMoa2001017] [PMID] []
4. Chou W-YS, Oh A, Klein WMP. Addressing Health-Related Misinformation on Social Media. JAMA.2020, 18;320(23):2417-8. [DOI:10.1001/jama.2018.16865] [PMID]
5. Merchant RM, Asch DA. Protecting the Value of Medical Science in the Age of Social Media and "Fake News". JAMA. 2018;320(23):2415-6. [DOI:10.1001/jama.2018.18416] [PMID]
6. Bastani P, Hakimzadeh SM, Bahrami MA. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC research notes. 2021;14(1):408. [DOI:10.1186/s13104-021-05822-2] [PMID] []
7. Zarocostas J. How to fight an infodemic. The lancet. 2020;395(10225):676. [DOI:10.1016/S0140-6736(20)30461-X] [PMID]
8. Babaei AM, Sattari AF. Investigating the Constructs of Psychosocial and Organizational Gossip Behavior. 2018. 10;17(69):545-56.
9. Carey JM, Chi V, Flynn D, Nyhan B, Zeitzoff T. The effects of corrective information about disease epidemics and outbreaks: Evidence from Zika and yellow fever in Brazil. Science advances. 2020;6(5):eaaw7449. [DOI:10.1126/sciadv.aaw7449] [PMID] []
10. Wang Y, McKee M, Torbica A, Stuckler D. Systematic literature review on the spread of health-related misinformation on social media. Social science & medicine. 2019;240:112552. [DOI:10.1016/j.socscimed.2019.112552] [PMID] []
11. Carey JM, Chi V, Flynn DJ, Nyhan B, Zeitzoff T. The effects of corrective information about disease epidemics and outbreaks: Evidence from Zika and yellow fever in Brazil. Science advances. 2020;6(5):eaaw7449. [DOI:10.1126/sciadv.aaw7449] [PMID] []
12. Lee JJ, Kang K-A, Wang MP, Zhao SZ, Wong JYH, O'Connor S, et al. Associations between COVID-19 misinformation exposure and belief with COVID-19 knowledge and preventive behaviors: cross-sectional online study. Journal of medical Internet research. 2020;22(11):e22205. [DOI:10.2196/22205] [PMID] []
13. Kouzy R, Abi Jaoude J, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. Cureus. 2020;12(3). [DOI:10.7759/cureus.7255] [PMID] []
14. Miller M, Banerjee T, Muppalla R, Romine W, Sheth A. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveill. 2017;3(2):e38. [DOI:10.2196/publichealth.7157] [PMID] []
15. Ortiz-Martínez Y, Jiménez-Arcia LF. Yellow fever outbreaks and Twitter: Rumors and misinformation. Am J Infect Control. 2017;45(7):816-7. [DOI:10.1016/j.ajic.2017.02.027] [PMID]
16. Oyeyemi SO, Gabarron E, Wynn R. Ebola, Twitter, and misinformation: a dangerous combination? BMJ (Clinical research ed). 2014;349:g6178. [DOI:10.1136/bmj.g6178] [PMID]
17. Naeem SB, Bhatti R, Khan A. An exploration of how fake news is taking over social media and putting public health at risk. Health Information & Libraries Journal. 2021;38(2):143-9. [DOI:10.1111/hir.12320] [PMID] []
18. Ittefaq M, Hussain SA, Fatima M. COVID-19 and social-politics of medical misinformation on social media in Pakistan. Media Asia. 2020;47(1-2):75-80. [DOI:10.1080/01296612.2020.1817264]
19. Murphy J. International perspectives and initiatives. Health Information & Libraries Journal. 2007;24(1):62-8. https://doi.org/10.1111/j.1471-1842.2007.00704.x [DOI:10.1111/j.1471-1842.2007.00761.x] [PMID]
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Mahjoob B, Taei N, Mojadam M. (2024). Investigating people's views on cyberspace and rumors published in the context of Covid-19 in Khuzestan province. Health Res Develop. 2(3), 70-78.
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Volume 2, Issue 3 (Autumn 2024) Back to browse issues page
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