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Bayesian Model Analyses of Media Impact
Quantitative Analysis
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Kamalakannan, Ravichandran
Dr. Ravichandran Kamalakannan works as an Assistant Professor in the Department of Visual Communication, Dr.MGR Educational and Research Institute. He holds in Journalism and Mass Communication from the University of Madras. He wrote more than 20 research papers about media and crime. In 2019 he got the award of International best researcher.
Dr. Ravichandran Kamalakannan works as an Assistant Professor in the Department of Visual Communication, Dr.MGR Educational and Research Institute. He holds in Journalism and Mass Communication from the University of Madras. He wrote more than 20 research papers about media and crime. In 2019 he got the award of International best researcher.
When people are suffering from real crimes, the public is under attack because they are portrayed in the media. When analyzing using the Bayesian method to understand the impact of these perpetrators, how does it affect individuals and what is the effect? How is the probability of Bayesian parameters effectively and accurately assessing the impact of crime news on media? Is used to obtain the correct results of this study. The purpose of this research is to accurately assess the impact of crime news using the Bayesian method.