The effect of media use on the intergenerational perception of health risks during the COVID-19 pandemic
Abstract
Objective: This research was carried out in order to show the effect of the use of media tools on the risk perception of the society and behaviors, including society’s tendency to get vaccinated in the context of generations during the Covid-19 pandemic.
Methods: The research was conducted with mixed method in which quantitative and qualitative research
techniques were used together. The “Converging Parallel Mixed Method” was used and the findings obtained from the both methods were combined. For the quantitative part, 469 people were reached with the “purposeful sampling method” and Media Exposure Scale, Risk Perception Scale, The Behavior Scale and The Believability Scale were used. In-depth interviews were conducted for the qualitative part.
Results: In the quantitative part of this study, it was found that the most important behavioral difference is that the use of media directly affects vaccination behavior in all generations. It has been also determined that the media use variable doesn’t differ according to age groups, thus all generational groups were found to use media invariably from each other.
Conclusion: It is of great significance that the information that both the whole society and individuals over the age of 65, who are in the risk group in terms of Covid-19 contamination and adverse process, need or may need, should be given in the most perspicuous, accurate and current manner in the media.
References
- World Health Organisation. WHO Coronavirus Disease (COVID-19) Dashboard [online]. Available at: https:// covid19.who.int . Accessed February 27, 2023.
- Visual Capitalist. How COVID-19 Has Impacted Media Consumption, by Generation [online]. Available at: https://www.visualcapitalist. com/media-consumption-covid-19/ . Accessed February 27, 2023.
- Gündüz Ş, Pekçetaş T. Kuşaklar ve Örgütsel Sessizlik/Seslilik. JOBS. 2018; 6(1):89-115.
- Henry B. Canadian Pandemic Influenza Preparedness: Communications strategy. Can Commun Dis Rep. 2018;44(5):106-109. doi:10.14745/ccdr.v44i05a03
- Department of Health, England and Health Departments of the Devolved Administrations of Scotland, Wales and Northern Ireland. UK Pandemic Influenza Communications Strategy [online]. Available at: https://assets.publishing. service.gov.uk/government/uploads/system/u p l o a d s / a t t a c h m e n t _ d a t a / f i l e / 2 1 3 2 6 8 /UK-Pandemic-Influenza-Communications-Strategy-2012.pdf .Accessed February 27, 2023.
- Creswell J W. Araştırma Deseni Nicel, Nitel ve Karma Yöntem Yaklaşımları. 3rd ed. Eğiten Kitap Press; 2017.
- Li X. Media Exposure, Perceived Efficacy, and Protective Behaviors in a Public Health Emergency. Int. J. Commun. 2018;12, 2641–2660.
- Witte K, Cameron KA, McKeon JK, & Berkowitz JM. Predicting risk behaviors: Development and validation of a diagnostic scale. Journal of Health Communication. 1996;1: 317-341.
- Fishbein M, Bowman CH, Thomas K, Jaccard J, Ajzen I. Predicting and understanding voting behavior in British and American elections. In I. Ajzen, & M. Fishbein (Eds.), Understanding attitudes and predicting social behavior Prentice Hall. 1980.
- Beltramini, F and Stafford, ER. Comprehension and Perceived Believability of Seals of Approval Information in Advertising. Journal of Advertising. 1993;22(3): 3-13.
Abstract
References
- World Health Organisation. WHO Coronavirus Disease (COVID-19) Dashboard [online]. Available at: https:// covid19.who.int . Accessed February 27, 2023.
- Visual Capitalist. How COVID-19 Has Impacted Media Consumption, by Generation [online]. Available at: https://www.visualcapitalist. com/media-consumption-covid-19/ . Accessed February 27, 2023.
- Gündüz Ş, Pekçetaş T. Kuşaklar ve Örgütsel Sessizlik/Seslilik. JOBS. 2018; 6(1):89-115.
- Henry B. Canadian Pandemic Influenza Preparedness: Communications strategy. Can Commun Dis Rep. 2018;44(5):106-109. doi:10.14745/ccdr.v44i05a03
- Department of Health, England and Health Departments of the Devolved Administrations of Scotland, Wales and Northern Ireland. UK Pandemic Influenza Communications Strategy [online]. Available at: https://assets.publishing. service.gov.uk/government/uploads/system/u p l o a d s / a t t a c h m e n t _ d a t a / f i l e / 2 1 3 2 6 8 /UK-Pandemic-Influenza-Communications-Strategy-2012.pdf .Accessed February 27, 2023.
- Creswell J W. Araştırma Deseni Nicel, Nitel ve Karma Yöntem Yaklaşımları. 3rd ed. Eğiten Kitap Press; 2017.
- Li X. Media Exposure, Perceived Efficacy, and Protective Behaviors in a Public Health Emergency. Int. J. Commun. 2018;12, 2641–2660.
- Witte K, Cameron KA, McKeon JK, & Berkowitz JM. Predicting risk behaviors: Development and validation of a diagnostic scale. Journal of Health Communication. 1996;1: 317-341.
- Fishbein M, Bowman CH, Thomas K, Jaccard J, Ajzen I. Predicting and understanding voting behavior in British and American elections. In I. Ajzen, & M. Fishbein (Eds.), Understanding attitudes and predicting social behavior Prentice Hall. 1980.
- Beltramini, F and Stafford, ER. Comprehension and Perceived Believability of Seals of Approval Information in Advertising. Journal of Advertising. 1993;22(3): 3-13.
Details
| Primary Language | English |
|---|---|
| Subjects | Health Care Administration |
| Journal Section | Short Report |
| Authors | |
| Early Pub Date | December 15, 2023 |
| Publication Date | December 15, 2023 |
| Submission Date | March 16, 2023 |
| Acceptance Date | October 15, 2023 |
| Published in Issue | Year 2023 Volume: 21 Issue: 3 |
Cite
TURKISH JOURNAL OF PUBLIC HEALTH - TURK J PUBLIC HEALTH. online-ISSN: 1304-1096
Copyright holder Turkish Journal of Public Health. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. 