Abstract
Social media have brought tremendous changes to the aggregation and propagation of the public opinions about emergencies. Public opinions spread more widely, and produce great influence on government, business, and daily lives. Hence, it is an important task to gain comprehensive understanding of the evolution of public opinions. Sina Weibo, one of the most popular social media in China, plays critical roles in the development of public opinions. This paper applies burst analysis toward emergencies with example helmet of incident using Sina Weibo data, and different stages are divided to reflect different foci of the public. Based on topic model, a visualizing approach is then proposed to illustrate opinions evolution, including the birth, death, splitting and merging of topics along the whole procedure of the incidents. Such kind of study aims to provide additional perspectives about the emerging and evolving public opinions in the social media.
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Acknowledgement
This research is supported by National Key Research and Development Program of China (2016YFB1000902) and National Natural Science Foundation of China (61473284 & 71731002).
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Yan, Z., Tang, X. (2019). Understanding Shifts of Public Opinions on Emergencies Through Social Media. In: Chen, J., Huynh, V., Nguyen, GN., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2019. Communications in Computer and Information Science, vol 1103. Springer, Singapore. https://doi.org/10.1007/978-981-15-1209-4_13
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DOI: https://doi.org/10.1007/978-981-15-1209-4_13
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