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A rapid detection method for social media robot groups

A detection method and social media technology, applied in machine learning, neural learning methods, instruments, etc., to achieve the effect of rapid detection

Active Publication Date: 2021-06-18
NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention aims to provide a rapid detection method for social media robot groups to solve the problem of how to realize rapid and effective detection of large quantities of social media robot groups

Method used

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  • A rapid detection method for social media robot groups
  • A rapid detection method for social media robot groups
  • A rapid detection method for social media robot groups

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Experimental program
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Embodiment

[0046] like figure 1 As shown, the present embodiment proposes a rapid detection method for social media robot groups, including the following steps:

[0047] Step 1, feature analysis: Obtain the basic information, behavior information, content information and relationship information of the individual social account from the social network platform, and obtain the basic attribute feature vector, behavior feature vector, and text feature vector of the individual social account through vector conversion and the relationship attribute feature vector, and then splicing and merging the basic attribute feature vector, behavior feature vector, text feature vector and relationship attribute feature vector of the individual social account to obtain the user feature vector of the individual social account;

[0048] like figure 2 As shown, the basic information of individual social accounts obtained from the social network platform includes age, gender, industry, residence, etc.; the co...

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Abstract

The present invention provides a method for quickly detecting social media robot groups, which is characterized in that it comprises the following steps: step 1, obtaining the basic attribute feature vector, behavior feature vector, text feature vector and relationship attribute feature vector of individual social accounts; step 2, Detect individual social robots through the machine learning model; Step 3, obtain the vector expression of the individual social account on the graph neural network as a graph vector; Step 4, use the graph vectors of all individual social accounts to calculate the similarity of the graph vectors , to determine whether the undetected individual social account is a social robot. The present invention first detects individual social robots, and then searches for users similar to the detected individual social robots through similar user judgment based on the graph neural network, so as to realize rapid detection of social media robot groups.

Description

technical field [0001] The invention relates to the field of cyberspace social media security governance, in particular to a method for quickly detecting social media robot groups. Background technique [0002] At present, social media platforms are more and more widely used. Due to the anonymity and convenience of the Internet, everyone is willing to express their opinions and speeches on social media platforms. A large number of online opinions gradually converge to form public opinion, which will affect the judgment of decision makers. With the advancement of social media robot technology, artificially manipulating a large number of social media robots to make purposeful remarks, hype hot spots on the Internet, and incite the public pose a serious threat to cyberspace security and even social security. Therefore, how to realize a large number of social media robot groups Rapid and effective detection is an urgent problem to be solved. Contents of the invention [0003]...

Claims

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Application Information

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IPC IPC(8): G06F16/903G06F16/33G06N3/08G06N20/00G06Q50/00
Inventor 曾曦王效武王海兮吴喆熹马军肖宁魏刚蒋涛常明芳
Owner NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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