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Microblog rumor detection method and system based on user relationship structure feature

A technology of structural features and detection methods, applied in the fields of intelligent text analysis, artificial intelligence, and public opinion analysis, can solve the problems of ignoring user characteristics and integrating user characteristics, and achieve the effect of improving F1 value, improving accuracy and improving accuracy.

Inactive Publication Date: 2019-10-22
INST OF INFORMATION ENG CAS
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Problems solved by technology

This method ignores the role of user characteristics and does not integrate user characteristics into the model

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  • Microblog rumor detection method and system based on user relationship structure feature
  • Microblog rumor detection method and system based on user relationship structure feature
  • Microblog rumor detection method and system based on user relationship structure feature

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Embodiment Construction

[0040] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0041] The invention uses a graph convolutional neural network to model the user relationship structure, characterizes the user model, and proposes a rumor detection method and system based on user relationship structure characteristics. The following is an introduction to the user relationship structure model, rumor detection method and system.

[0042] 1. User relationship structure model

[0043] Microblog data flow can be regarded as a set S=(T,U) including topic set T and user set U, where T=(T 1 , T 2 , T 3 …T i …T n ), C i Indicates the same as the source tweet r i All tweets in chronological order related to t i (i=1~m) set, ie T i =(r i ,t 1 , t 2 ,...,t m ). U=(U 1 ,U 2 ,U 3 … U i … U n ), U i means T i The collecti...

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Abstract

The invention relates to a microblog rumor detection method and system based on user relationship structure features. The method comprises the following steps: 1) constructing a user relationship structure chart according to user behavior information, and modeling the user relationship structure chart to obtain a user vector; 2) constructing a propagation tree according to a propagation path of the microblog topic stream data, and encoding the propagation tree to obtain a propagation tree vector; and 3) cascading the user vector and the propagation tree vector, and inputting the user vector and the propagation tree vector into a neural network to judge whether the microblog topic is a rumor. The system includes a user encoder, a propagation tree encoder, and an integrator. According to themethod, users participating in the rumor propagation process are modeled to obtain vector representations of all the users in the microblog data stream, and useful detection factors are added in therumor detection process, so that the effect of user characteristics is reflected, and the accuracy and F1 value of a rumor detection system are improved.

Description

technical field [0001] The invention belongs to the technical fields of artificial intelligence, intelligent text analysis, and public opinion analysis, and relates to a rumor detection method, in particular to a microblog rumor detection method and system based on user relationship structural features. Background technique [0002] Weibo rumors refer to fabricated statements without factual basis that are spread through social media networks (such as Sina Weibo, Tencent Weibo, Twitter, etc.). Weibo rumors involve social, political, economic, cultural and other content, such as social emergencies, political elections, hot events, etc. The spread of Weibo rumors has the characteristics of suddenness, rapid spread and wide range of influence, so it is very easy to cause great harm to the country and society. For example, someone is fleshed out because of his similar appearance to the suspect in a certain case, which brings great trouble to his work and life and damages his pe...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06N3/04G06F16/951
CPCG06F16/951G06F40/279G06N3/045
Inventor 黄琪周川胡玥谭建龙郭莉
Owner INST OF INFORMATION ENG CAS
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