Objectives
The purpose of this study was to ascertain the influence of media communication on risk behavior related to mad cow disease (MCD). Methods
Mothers of elementary school students in Seoul were recruited as the survey participants of this study. Results
Media reports affected risk behavior related to MCD. Also, knowledge and attitude toward MCD affects risk behavior. Conclusion
Risk-related information provided by the media should maintain consistency and objectivity. For effective risk communication, there should be an open communication between the government and public, experts, and related industries, who should all collaborate.
Citations
Citations to this article as recorded by
The influence of media consumption on public risk perception: a meta-analysis Chunhua Niu, Zhixin Jiang, Hongbing Liu, Kehu Yang, Xuping Song, Zhihong Li Journal of Risk Research.2022; 25(1): 21. CrossRef
Patterns of compliance with COVID-19 preventive measures among the public in Qatar and Kuwait Noora Lari, Noor Al-Thani Global Social Policy.2022; 22(3): 580. CrossRef
Understanding risk perception from floods: a case study from China Yi Ge, Guangfei Yang, Xiaotao Wang, Wen Dou, Xueer Lu, Jie Mao Natural Hazards.2021; 105(3): 3119. CrossRef
When beef consumption becomes politicized: Longitudinal change of US beef purchase intention and political values in Korea Byeong Je Kim, Ji-Bum Chung Food Policy.2021; 105: 102171. CrossRef
Community participation effects on preparedness behaviour through risk perception: Empirical data of hazardous chemicals from China Xiaowei Li, Tiezhong Liu International Journal of Disaster Risk Reduction.2020; 44: 101421. CrossRef
Food risk communication: analysis of the media coverage of food risk on Italian online daily newspapers Barbara Tiozzo, Anna Pinto, Federico Neresini, Stefano Sbalchiero, Nicoletta Parise, Mirko Ruzza, Licia Ravarotto Quality & Quantity.2019; 53(6): 2843. CrossRef
Perceived risks of produced water management and naturally occurring radioactive material content in North Dakota Luisa Torres, Om Prakash Yadav, Eakalak Khan Journal of Environmental Management.2017; 196: 56. CrossRef
Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China Delu Wang, Jianping Zheng, Gang Ma, Xuefeng Song, Yun Liu Expert Systems.2016; 33(3): 254. CrossRef
Health Literacy, Health Risk Perception and Health Behavior of Elders Jeong Hee Jeong, Jung Soon Kim Journal of Korean Academy of Community Health Nurs.2014; 25(1): 65. CrossRef