False news identification method based on news-comment correlation analysis

A technology of correlation analysis and identification method, applied in the field of fake news identification based on news-comment correlation analysis, can solve the problem of low identification accuracy, and achieve the effect of high information utilization and accuracy.

Pending Publication Date: 2020-09-08
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a false news identification method based on news-comment correlation analysis, which is used to solve the technical problem of low recognition accuracy caused by one-sided reliance on news texts or communication networks in existing false news identification

Method used

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  • False news identification method based on news-comment correlation analysis
  • False news identification method based on news-comment correlation analysis

Examples

Experimental program
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Effect test

Embodiment 1

[0039] A kind of fake news identification method 100 based on news-review correlation analysis, such as figure 1 shown, including:

[0040] Step 110, construct its news feature matrix based on the content of the news to be identified, and construct the feature vector of the comment based on the content of each comment of the news to be identified; at the same time, according to the reply relationship between comments, use each initial comment as a root node, Each reply comment is used as a child node to build multiple comment trees;

[0041] Step 120, associate the feature vector of each node in each comment tree with the context-related feature vector of its parent node, obtain the context-related feature vectors of all leaf nodes of the comment tree through recursive calculations, and perform weighted calculations to obtain the comment tree eigenvector of

[0042] Step 130, matching the correlation between the news feature matrix and the feature vectors of all comment tree...

Embodiment 2

[0069] A machine-readable storage medium, the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the above A method for identifying fake news based on news-comment correlation analysis described in Embodiment 1.

[0070] The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.

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Abstract

The invention belongs to the field of news detection, in particular to a false news recognition method based on news-comment relevance analysis. The method comprises the following steps: constructinga two-dimensional news feature matrix based on the content of each text clause in news, constructing a one-dimensional feature vector of each comment according to the content of each comment, and constructing a plurality of comment trees by taking each initial comment as a root node and each reply comment as a sub-node; combining each node feature vector in each comment tree with the father node context associated feature vector thereof, calculating all leaf node context associated feature vectors in the comment tree and performing weighted calculation to obtain a comment tree feature vector,and forming a two-dimensional comment feature matrix by all the comment tree feature vectors; and matching the relevance between the news feature matrix and the comment feature matrix to obtain a newsfeature vector and a comment feature vector so as to judge the authenticity of news. The method makes full use of news texts and information generated in the propagation process of the news texts, ishigh in accuracy and adapts to large-scale social networks.

Description

technical field [0001] The invention belongs to the field of news detection, and more specifically relates to a false news identification method based on news-comment correlation analysis. Background technique [0002] The vigorous development of network technology has made the cost of obtaining information lower and lower, and the ubiquity of network technology has also provided a foundation for the rise of social networks. Users can easily and conveniently obtain and publish information from social networks. This convenience lowers the threshold for the generation and dissemination of false news. False news will take advantage of the untimely information disclosure, and cause serious public opinion pressure and social panic through the crazy spread of social networks. Fake news seriously affects the social network environment and creates group anxiety. Therefore, effective identification of fake news in social networks is an urgent problem to be solved in the current soci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/953G06F16/33G06F40/284G06N3/04
CPCG06F16/953G06F16/3344G06F40/284G06N3/044G06N3/045
Inventor 李玉华张文杰李瑞轩辜希武
Owner HUAZHONG UNIV OF SCI & TECH
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