THE EFFECT OF INFORMATION SOURCES ON THE FEAR OF COVID-19
Year 2022,
, 76 - 89, 30.06.2022
Gül Karahan
,
Veli Duyan
,
Merve Deniz Pak Güre
Abstract
This study aims to examine what sources of coronavirus information are and their impact on the fear of COVID-19. This research reached 1851 people through Google Forms. The sociodemographic questionnaire and the Fear of COVID-19 Scale were used and the data were analyzed by SPSS. The study shows that news sources on COVID-19 consist mostly of TV, social media, and online sources. The differences were found in terms of news sources according to gender. As age increases, the use of news sources decreases; as the educational level increases, the use of news sources increases. There is a significant difference in the fear of COVID-19 among those who use television, social media, online resources, friends, and family members as news sources. The most remarkable finding of the research is that the fear of COVID-19 increases as the number of news sources reached increases. This result reveals the effects of more information obtained from more news sources on the fear of COVID-19, pointing to a different dimension of the issue that should be addressed at the individual and societal levels.
References
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Year 2022,
, 76 - 89, 30.06.2022
Gül Karahan
,
Veli Duyan
,
Merve Deniz Pak Güre
Abstract
Bu çalışma, koronavirüs ile ilgili bilgi kaynaklarının neler olduğunu ve bunların COVID-19 korkusu üzerindeki etkisini incelemeyi amaçlamaktadır. Araştırmada Google Formlar aracılığıyla 1851 kişiye ulaşılmış; Sosyodemografik soru formu ve COVID-19 Korkusu Ölçeği kullanılmış ve veriler SPSS ile analiz edilmiştir. Çalışma COVID-19 ile ilgili haber kaynaklarının çoğunlukla TV, sosyal medya ve çevrimiçi kaynaklardan oluştuğunu göstermektedir. Cinsiyetlere göre haber kaynaklarının kullanımı açısından istatistiksel olarak anlamlı farklılık bulunmuştur. Yaş arttıkça haber kaynaklarının kullanımı azalmakta; eğitim seviyesi yükseldikçe haber kaynaklarının kullanımı artmaktadır. Haber kaynağı olarak TV, sosyal medya, çevrimiçi kaynaklar, arkadaş ve aile üyelerini kullananlar arasında COVID-19 korkusunda anlamlı bir farklılık bulunmuştur. Araştırmanın en çarpıcı bulgusu, ulaşılan haber kaynaklarının sayısı arttıkça COVID-19 korkusunun artmasıdır. Bu sonuç, daha fazla haber kaynağından edinilen daha fazla bilginin COVID-19 korkusu üzerindeki etkilerini ortaya koymakta, konunun bireysel ve toplumsal düzeyde ele alınması gereken farklı bir boyutuna işaret etmektedir.
References
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- Ahorsu, D.K., Lin, C.Y., Imani, V., Saffari, M., Griffiths, M.D., & Pakpour, A.H. (2020). The Fear of COVID19 Scale: development and initial validation. International Journal of Mental Health and Addiction, 1, 1-10. https://doi.org/10.1007/s11469-020-00270-8.
- Ali, S.H., Foreman, J., Tozan, Y., Capasso, A., Jones, A.M. & DiClemente, R.J. (2020). Trends and predictors of COVID-19 information sources and their relationship with knowledge and beliefs related to the pandemic: nationwide cross-sectional study. JMIR public health and surveillance, 6(4), e21071.https://doi.org/10.2196/21071.
- Altheide, D.L. (2013). Media Logic, Social Control, and Fear. Communication Theory, 23 (3), 223–38. https://doi.org/10.1111/comt.12017.
- Arpacıoğlu, S., Baltalı, Z., & Ünübol, B. (2020). COVID-19 pandemisinde sağlık çalışanlarında tükenmişlik, Covid korkusu, depresyon, mesleki doyum düzeyleri ve ilişkili faktörler. Cukurova Medical Journal, 46(1), 88-100. https://doi.org/10.17826/cumj.785609
- Banerjee, D. & Rao, T.S. (2020). Psychology of misinformation and the media: Insights from the COVID-19 pandemic. Indian Journal of Social Psychiatry, 36(5), 131. https://doi.org/10.4103/ijsp.ijsp_112_20.
- Beck, A.T., & Emery, G. (1979). Cognitive therapy of anxiety and phobic disorders. Center for Cognitive therapy. New York.
- Bendau, A., Petzold, M.B., Pyrkosch, L., Maricic, L.M., Betzler, F., Rogoll, J. & Plag, J. (2020). Associations between COVID-19 related media consumption and symptoms of anxiety, depression and COVID-19 related fear in the general population in Germany. European archives of psychiatry and clinical neuroscience, 1-9. https://doi.org/10.1007/s00406-020-01171-6.
- Bento, A.I., Nguyen, T., Wing, C., Lozano-Rojas, F., Ahn, Y.Y. & Simon, K. (2020). Information seeking responses to news of local covid-19 cases: Evidence from internet search data. arXiv preprint arXiv:2004.04591.
- Brennen, J.S., Simon, F., Howard, P.N. & Nielsen, RçK. (2020). Types, sources, and claims of COVID-19 misinformation. Reuters Institute 7, 3-1. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2020-04/Brennen%20-%20COVID%2019%20Misinformation%20FINAL%20(3).pdf.
- Chen, E., Lerman, K. & Ferrara, E. (2020). Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set. JMIR Public Health and Surveillance, 6(2), e19273. https://doi.org/10.2196/19273.
- Chen, Q., Liang, M., Li, Y., Guo, J., Fei, D., Wang, L. & Wang, J. (2020). Mental health care for medical staff in China during the COVID-19 outbreak. The Lancet Psychiatry, 7(4), 15-16. https://doi.org/10.1016/S2215-0366(20)30078-X.
- Chong, Y.Y., Cheng, H.Y., Chan, H.Y.L., Chien, W.T. & Wong, S.Y.S. (2020). COVID-19 pandemic, infodemic and the role of eHealth literacy. International journal of nursing studies, 108, 103644. https://doi.org/10.1016/j.ijnurstu.2020.103644.
- Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C.M., Brugnoli, E., Schmidt, A.L. & Scala, A. (2020). The COVID-19 social media infodemic. Scientific Reports, 10(1), 1-10. https://doi.org/10.1038/s41598-020-73510-5.
- Cullen, W., Gulati, G. & Kelly, B.D. (2020). Mental health in the COVID-19 pandemic. QJM: An International Journal of Medicine, 113(5), 311-312. https://doi.org/10.1093/qjmed/hcaa110.
- D’Souza, R.S., D’Souza, S., Strand, N., Anderson, A., Vogt, M.N. & Olatoye, O. (2020). YouTube as a source of medical information on the novel coronavirus 2019 disease (COVID-19) pandemic. Global public health, 15(7), 935-942. https://doi.org/10.1080/17441692.2020.1761426.
- Dawson, D.L. & Golijani-Moghaddam, N. (2020). COVID-19: Psychological flexibility, coping, mental health, and wellbeing in the UK during the pandemic. Journal of contextual behavioral science, 17, 126-134. https://doi.org/10.1016/j.jcbs.2020.07.010.
- D´Agostino, M., Felipe, M., Ian, B., Myrna, M., David, N., & Gerardo, C. (2017). Fear on the Networks: Analyzing the 2014 Ebola Outbreak. Revista Panamericana de Salud Pública, 1–7. https://doi.org/10.26633/rpsp.2017.134.
- Destiny, A.O. & Bahiyah, O. (2020). Fake News and COVID-19: Modelling the Predictors of Fake News Sharing among Social Media Users. Telematics and Informatics, 56, 101475. https://doi.org/10.1016/j.tele.2020.101475.
- Dong, L. & Bouey, J. (2020). Public mental health crisis during COVID-19 pandemic, China. Emerging infectious diseases 26(7), 1616. https://doi.org/10.3201/eid2607.200407.
- Du, J., Dong, L., Wang, T., Yuan, C., Fu, R., Zhang, L. & Li, X. (2020). Psychological symptoms among frontline healthcare workers during COVID-19 outbreak in Wuhan. General hospital psychiatry, 64, 144-145. https://doi.org/10.1016/j.genhosppsych.2020.03.011.
- Dubey, S., Biswas, P., Ghosh, R., Chatterjee, S., Dubey, M.J., Chatterjee, S. & Lavie, C.J. (2020). Psychosocial impact of COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 779-788. https://doi.org/10.1016/j.dsx.2020.05.035.
- Duplaga, M. & Grysztar, M. (2021). The Association between Future Anxiety, Health Literacy and the Perception of the COVID-19 Pandemic: A Cross-Sectional Study. Healthcare, 9(1), 43. https://doi.org/10.3390/healthcare9010043.
- Gallotti, R., Valle, F., Castaldo, N., Sacco, P. & De Domenico, M. (2020). Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour, 4(12), 1285-1293.https://doi.org/10.1038/s41562-020-00994-6.
- Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S. & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. Plos one, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924.
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