CASIA OpenIR  > 互联网大数据与安全信息
Social Cognition Construction of the Avian Flu based on Social Media Big Data
Yuejiao Wang; Zhidong Cao
2019
Conference Name2019 IEEE International Conference on Intelligence and Security Informatics (ISI)
Conference Date1-3 July 2019
Conference PlaceShenzhen, China,
Abstract

During the high incidence of avian flu, the mainstream media and social media report a lot on the epidemic, mobilizing the people to prevent and control avian flu. This paper collects reports on avian flu from News, Forums, Apps, WeChat and Microblog and forms five data sets. We extract agenda-settings from the News dataset and build agenda-setting networks of the five datasets. Then we use the QAP test to verify the relevance of these agenda-setting networks. We also project the agenda-setting dissimilarity matrices into a two-dimensional space using the MDS method to form cognitive maps, analyzing the cognitive drift of media platforms relative to News. Results show that the agenda-setting networks of Apps and News have the highest correlation coefficient of 0.9193, while Microblog and News have the lowest correlation coefficient of 0.5611. The cognitive maps of Apps, Forum and WeChat have a slight translation and rotation relative to the cognitive map of News. But their relative positional relationship among agenda-settings are similar with News, expect Microblog.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26107
Collection互联网大数据与安全信息
Corresponding AuthorZhidong Cao
AffiliationState Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yuejiao Wang,Zhidong Cao. Social Cognition Construction of the Avian Flu based on Social Media Big Data[C],2019.
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