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Communication Response of Internet Rumor Audiences Based on Big Data Analysis

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1282))

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Abstract

In the era of big data, the importance of data analysis has been put on the agenda, and at the same time, the authenticity of massive information has become a challenge. In the face of the fact that the number of Internet users in China has exceeded 850 million yuan and the trend of obvious growth, the research on the propagation response rule of the network rumor audiences in the era of big data is urgent. Based on the background of the era of big data, this paper USES the classic wt-sir rumor propagation model to simulate the rumor propagation mechanism in the Internet environment, and finds that the rumor propagation scale and propagation speed are significantly positively correlated with the importance and credibility of the rumor.

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Acknowledgments

This paper is supported by the Youth Fund for Humanities and Social Sciences of the Ministry of Education: “Research on Audience Communication of Internet Rumors in the Era of Big Data” (Project number: 18YJC 860021).

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Correspondence to Sitong Liu .

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Liu, S. (2021). Communication Response of Internet Rumor Audiences Based on Big Data Analysis. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_48

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