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Ghasemi, A., Mollazadeh, H. (2022). The Content Analysis of Rumors Published in Covid-19 Pandemic, Causes and Coping Strategies. , 19(2), 145-121. doi: 10.22067/social.2022.75484.1142
Afsaneh Ghasemi; Hamed Mollazadeh. "The Content Analysis of Rumors Published in Covid-19 Pandemic, Causes and Coping Strategies". , 19, 2, 2022, 145-121. doi: 10.22067/social.2022.75484.1142
Ghasemi, A., Mollazadeh, H. (2022). 'The Content Analysis of Rumors Published in Covid-19 Pandemic, Causes and Coping Strategies', , 19(2), pp. 145-121. doi: 10.22067/social.2022.75484.1142
Ghasemi, A., Mollazadeh, H. The Content Analysis of Rumors Published in Covid-19 Pandemic, Causes and Coping Strategies. , 2022; 19(2): 145-121. doi: 10.22067/social.2022.75484.1142

The Content Analysis of Rumors Published in Covid-19 Pandemic, Causes and Coping Strategies

علوم اجتماعی دانشگاه فردوسی مشهد
Article 5, Volume 19, Issue 2 - Serial Number 40, June 2022, Pages 145-121    PDF (906.49 K)
Document Type: Research
DOI: 10.22067/social.2022.75484.1142
Authors
Afsaneh Ghasemi* 1; Hamed Mollazadeh2
1PhD in Sociology, Alzahra University, Tehran, Iran
2MSc in Sport Biomechanics, Islamic Azad University Central Tehran Branch, Tehran, Iran
Abstract
Rumors spread in critical situations and cause trouble for the society. The Covid-19 pandemic, as a global crisis, also led to various rumors in Iran. This disease started in China in 2019 and spread all over the world in a short period of time. The purpose of this study is to analyze the content of rumors that have been published during the Covid-19 epidemic in Iran. The research method is qualitative content analysis. For this purpose, the rumors published in ISNA and IRNA from the beginning of the disease outbreak until the official announcement of its vaccine production and injection were identified. First, all the rumors were reviewed, and then the most relevant ones were selected and the content was analyzed using the MaxQda. The published rumors were identified in 9 main categories and 18 sub categories. Nine main groups of rumors were: rumors related to the virus, disease prevention, treatment and control of the disease, mortality rate and dead people, outbreaks and infections, close and reopening of various places, government actions, access to various goods and more rumors. Rumors were spread due to factors such as fear, pessimism, curiosity, wishful thinking, deception, and economy, which had many impacts on people and society. Rumor coping strategies were based on two strategies of denial and retrieval. Based on the general trend of the categories, it can be said that the rumors were not an unusual reaction of the society to the crisis of the Covid-19 pandemic. It was a natural reaction to a completely unknown and deadly disease that targeted the physical and mental health of the society.
Keywords
Rumor; Covid-19 Pandemic; Rumor Coping Strategies
References
  1. افروز، غ. ع. (1376). مبانی روان‌شناسی شایعه. روابط عمومی، (9)، 20-23.
  2. ایسنا (خبرگزاری دانشجویان ایران) (1400). کرونا جان دو نفر را در قم گرفت. بازیابی از https://www.isna.ir/news/98113022898 در 20 آبان 1400
  3. آذرشین، ا.، و تاجیک اسماعیلی، س. (1396). بررسی میزان باورپذیری پدیده شایعه در پیام‌رسان‌های موبایلی بین مردم شهرستان اهواز با تأکید بر نقش رسانه ملی. مطالعات فرهنگ و ارتباطات، 18(40)، 65-94.
  4. آلپرت، ج. د.، و پستمن، ل. (1374). روان‌شناسی شایعه (س. دبستانی، مترجم). تهران: سروش
  5. ترکمان، ف.، و شهابی، ز. (1395). شایعه و عوامل اجتماعی مؤثر در پذیرش آن. راهبرد اجتماعی و فرهنگی، (19)، 191-216.
  6. تولایی، م. ع. (1396). تأثیر شایعه بر افکار عمومی. حقوق ملل، (27)، 387-407.
  7. ربانی، ر.، برندگی، ب.، و مهربانی، م. (1392). تحلیل و تبیین اشاعه خبر و گسترش شایعه (مطالعه موردی: دانشجویان دانشگاه اصفهان). مجله علوم اجتماعی دانشکده ادبیات و علوم انسانی دانشگاه فرودسی مشهد، 10(2)، 1-22.
  8. زابلی‌زاده، ا.، و شمس، م. (1400). نقش صدا و سیما در مقابله با شایعات سیاسی انتشاریافته در شبکه‌های اجتماعی مجازی. رسانه و فرهنگ، 11(1)، 138-177.
  9. صدیق سروستانی، ر. (1375). کاربرد تحلیل محتوی در علوم اجتماعی. نامه علوم اجتماعی، 8(8)، 91-114.
  10. قانع عزآبادی، م.، شادی، ض.، و فتوره‌چی، م. م. (1399). جوانان و شایعه‌پراکنی در دوران پیام‌رسان‌های موبایلی. مطالعات راهبردی ورزش و جوانان، (49)، 33-52.
  11. کاشی، ا.، و شهریاری، م. (1400). پایش چالش‌های ذهنی مردم در فضای مجازی در دوران کرونا. مطالعات مدیریت کسب و کار هوشمند، 10(37)، 215-232.
  12. مقیمی، م.، و غفاری، ر. (1395). پایبندی مدیران به اخلاق، و مدیریت شایعه در سازمان‌های دولتی ایران. مدیریت فرهنگ سازمانی، 14(1)، 1-26.
  13. هاتفی، م. (1401). الگوی گفتمانی مدیریت و پخش شایعه در شرایط همه‌گیری کرونا در شبکه اجتماعی تلگرام. زبان‌پژوهی. 4(44)، 35-58.
  14. هماصدر، ص. (1388). مدیریت شایعه: پذیرش و پایش. تدبیر، (210)، 59-63.
 

  1. Ahsan, M., Kumari, M., & Sharma, T. P. (2019). Rumors detection, verification and controlling mechanisms in online social networks: A survey. Online Social Networks and Media, 14, 100050.
  2. Al-Zaman, M. (2021). COVID-19-Related social media fake news in India. Journalism and Media, 2(1), 100-114.
  3. Al-Zaman, M., Sultana, M., Sultana Ahona, K. T., Sife, S. A., Akbar, M., & Sarkar, N. (2020). Social media rumors in Bangladesh. Journal of Information Science Theory and Practice, 8(3), 77-90.
  4. DiFonzo, N., & Bordia, P. (1998). A tale of two corporations: Managing uncertainty during organizational change. Human Special Issue-Employee Communications, 37(3‐4), 295-303.
  5. DiFonzo, N., & Bordia, P. (2002). Corporate rumor activity, belief and accuracy. Public Relations Review, 28(1), 1-19.
  6. DiFonzo, N., & Bordia, P. (2007). Rumor psychology: Social and organizational approaches. Wahsington: American Psychological Association.
  7. Goodwin, R., Haque, S., Neto, F., & Myers, L. B. (2009). Initial psychological responses to Influenza A, H1N1 ("Swine flu"). BMC Infectious Diseases, 9(1), 1-6.
  8. Hu, Zh., Yang, Zh., Li, Q., & Zhang, A. The COVID-19 infodemic: infodemiology study analyzing stigmatizing search terms. Journal of medical Internet Research,22(11): e22639.
  9. Jones, N. M., Thompson, R. R., Schetter, C. D., & Silver, R. C. (2017). Distress and rumor exposure on social media during a campus lockdown. Proceedings of the National Academy of Sciences, 114(44), 11663-11668.
  10. Kamins, M. A., Folkes, V. S., & Perner, L. (1997). Consumer responses to rumors: Good news, bad news. Journal of Consumer Psychology, 6(2), 165-187.
  11. Lv, W., Zhou, W., Gao, B., Han, Y., & Fang, H. (2022). New insights into the social rumor characteristics during the COVID-19 pandemic in China. Frontiers in Public Health, 10, 864955.
  12. Murayama, T. (2021). Dataset of fake news detection and fact verification: A survey.  2111.03299. Retrieved from https://arxiv.org/abs/2111.03299
  13. Pu, G., Jin, L., Xiao, H., Shu-Ting, W., Xi-Zhe, H., Ying, T., & Yibo, W. U. (2021). Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China. Health Promotion Perspectives, 11(3), 288.
  14. Radwan, E., & Radwan, A. (2020). The spread of the pandemic of social media panic during the COVID-19 outbreak. European Journal of Environment and Public Health, 4(2), em0044.
  15. Rahmawati, D., Mulyana, D., Lumakto, G., Viendyasari, M., & Anindhita, W. (2021). Mapping disinformation during the Covid-19 in Indonesia: Qualitative content analysis. Jurnal ASPIKOM, 6(2), 222-234.
  16. Rosnow, R., & Foster, E. K. (2005). Rumor and gossip research. Psychological Science Agenda,19(4), 1-2.
  17. Shi, A., Qu, Z., Jia, Q., & Lyu, C. (2020). Rumor detection of COVID-19 pandemic on online social networks. Paper presented at the Proceedings of the IEEE/ACM Symposium on Edge Computing; IEEE/ACM Symposium on Edge Computing, San Jose, CA.
  18. Taghipour, F., Ashrafi-Rizi, H., & Soleymani, M. R. (2021). Dissemination and acceptance of COVID-19 misinformation in Iran: A qualitative study. International Quarterly of Community Health Education, 0272684X211022155.
  19. Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors and misinformation on COVID-19 in social media. Journal of Preventive Medicine and Public Health, 53(3), 171-174.
  20. Wang, P., Shi, H., Wu, X., & Jiao, L. (2021). Sentiment analysis of rumor spread amid COVID-19: Based on weibo text. Healthcare, 9(10), 1275.
  21. World Health Organization (WHO). (2021a). COVID-19–China. Retrieved 2021, December 2, from https://www.who.int/emergencies/disease-outbreak-news/item/2020-DON229
  22. World Health Organization (WHO). (2021b). WHO director-general's opening remarks at the media briefing on COVID-19. Retrieved 2021, December 2, from https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
  23. Yang, F., Ren, Y., Wang, S., & Zhang, X. (2022). Health-related rumor control through social collaboration models: Lessons from cases in China during the COVID-19 Pandemic. Healthcare, 10(8), 1475.
  24. Zamanian, M., Ahmadi, D., Sindarreh, S., Aleebrahim, F., Vardanjani, H. M., Faghihi, S. H., ... & Nasirian, M. (2020). Fear and rumor associated with COVID-19 among Iranian adults. Journal of Education and Health Promotion, 9, 355.
  25. Zheltukhina, M. R., Slyshkin, G. G., Ponomarenko, E. B., Busygina, M. V., & Omelchenko, A. V. (2016). Role of media rumors in the modern society. International Journal of Environmental and Science Education, 11(17), 10581-10589.
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