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Social network false news detection method and device

A technology of social network and detection method, applied in the field of social network fraud detection

Pending Publication Date: 2022-07-15
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to readers' lack of perception of the reliability of news sources and the authority of content, fake news occurs from time to time

Method used

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  • Social network false news detection method and device
  • Social network false news detection method and device
  • Social network false news detection method and device

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Embodiment Construction

[0037] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention more clearly understood, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but not to limit the present invention.

[0038] As mentioned earlier, there is an urgent need for a class of automated fake news detection algorithms that can detect fake news early and help stop the major spread of such news. The development of artificial intelligence provides effective technical means for fake news detection, which are currently mainly divided into the following two categories: methods based on manual features and methods based on neural networks. Methods based on handcrafted features mostly extract key features from news text content, such as lexical features, semantic f...

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Abstract

The invention discloses a social network false news detection method and device. The method comprises the following steps: obtaining character elements and image elements of social network news data; carrying out text feature extraction on the preprocessed news character elements by adopting a Bi-LSTM neural network model; performing visual feature extraction on the news image elements by adopting a VGG-19 neural network model, and performing post-processing; performing mutual fusion on the text features and the image features by using a dot product type attention mechanism to sequentially obtain corrected text features and corrected visual features; performing time-level self-attention fusion on the corrected text features at different moments to obtain ultimate text features; carrying out space-level self-attention fusion on the corrected visual features of different positions to obtain ultimate visual features; and after the ultimate text features and the ultimate visual features are spliced, a full connection layer neural network model with softmax is input, so that false news can be detected in time.

Description

technical field [0001] The present invention relates to the field of social network fraud detection, in particular to a method and device for detecting fake news in social networks. Background technique [0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Social media represented by Weibo has become the main way to obtain news information. However, fake news occurs from time to time due to readers' lack of awareness of the reliability of news sources and the authority of the content. Fake news refers to news articles that are intentionally false or verified to be false, and that mislead readers. [0004] Therefore, there is an urgent need for a social network fake news detection scheme that can detect fake news in a timely manner and help prevent the major proliferation of such news. SUMMARY OF THE INV...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q50/00G06F16/33G06F16/35G06F16/55G06F16/583G06F40/289G06K9/62G06N3/04G06N3/08
CPCG06F16/9536G06Q50/01G06F16/3335G06F16/3344G06F16/35G06F16/583G06F16/55G06F40/289G06N3/08G06N3/047G06N3/044G06F18/2415G06F18/241
Inventor 郭颖狄冲
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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