Research on Microblog Rumor Identification Based on LDA and Random Forest
Zeng Ziming1,2 , Wang Jing1,2
1. Center for the Study of Information Resources, Wuhan 430072;
Abstract The spread of Internet rumors has a negative impact on everyday life and social stability. In order to assist in rumor control, this paper analyzes information about the “haze” rumors on the Sina Weibo microblogging platform in 2016, and constructs reliability and influence variables based on Weibo data and history research. In addition, the LDA model is used to gather the topic distribution of the experimental text data. Based upon the reliability variable, the influence variable, and the probability of topics, the paper uses random forest for classification to achieve rumor identification. The experiment results show that the probability of topics plays an important role in rumor identification, and that the random forest model, based on LDA, can lead to an improvement in the accuracy of rumor identification.
Key words ：
Weibo
rumor identification
LDA
random forest
haze
Received: 03 November 2017
［1］ 李桂华, 王亚男, 朱一凡. 网络谣言的信息接收反应机制及其风险治理[J]. 情报学报, 2014, 33(3): 305-312.
