This study aims to improve disaster management. Social media, particularly microblog, has become a new platform for public opinion dissemination. However, few studies have been conducted to explore the structure of public opinions, the approaches for facilitating the spread of public opinions and the results of public opinion dissemination in the context of mobile internet for the purpose of improving disaster management.
This paper chooses Ebola as the research topic and extracts 14,735 Ebola-related data items from Sina Microblogs to examine the information nodes of public opinion and the characteristics of propagation paths on mobile internet. Particularly, nodes of public opinion between mobile terminals and non-mobile terminals are compared.
The results of this paper reveal the characteristics of public opinion propagation on mobile internet and verify the effectiveness of public opinion propagation on mobile internet. This study shows that public opinions propagate quickly, widely and efficiently and further generate great impacts on mobile internet.
The methods used in this study can be useful for the government agencies and other relevant organizations to monitor public opinions, identify issues and problems proactively and develop strategies in a more efficient manner to improve disaster management.
The results of this paper are helpful for related departments to monitor public opinions and to further improve disaster management.
This paper explores the mechanism of public opinion dissemination on mobile internet and further investigates how to improve disaster management through a case study related to Ebola.
The authors thank the editor and the referees for their invaluable comments and suggestions. This research is supported in part by the National Natural Science Foundation of China (NSFC) under Project (71673108) and the construction project of Top Discipline of Jilin University.
Wang, X., Zhao, D., Yang, M., Duan, L., Xiang, M.M. and Guo, Q. (2017), "Public opinion dissemination on mobile internet- a case of Ebola", Information Discovery and Delivery, Vol. 45 No. 2, pp. 87-100. https://doi.org/10.1108/IDD-02-2017-0013
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