Social robot account detection method based on feature evaluation and improved algorithm

An improved algorithm and feature evaluation technology, which is applied in the fields of instruments, computing, digital data information retrieval, etc., can solve the problems of single model structure and low accuracy rate, and achieve good detection effect, improved accuracy, and improved recall rate.

Pending Publication Date: 2022-07-05
CHINA CRIMINAL POLICE UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned social robot detection algorithm mostly focuses on account attribute features in feature selection, and the model structure is single and the accuracy rate is low, which has certain shortcomings.

Method used

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  • Social robot account detection method based on feature evaluation and improved algorithm
  • Social robot account detection method based on feature evaluation and improved algorithm
  • Social robot account detection method based on feature evaluation and improved algorithm

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Embodiment Construction

[0067] In recent years, the number and status of social robots in social networks have gradually increased, and social network platforms are extremely vulnerable to large-scale penetration by social robots. The use of social media bots is increasingly common, and its impact is two-sided. On the one hand, social media robots can assist in generating regular information (such as weather and road condition forecasts), improving the timeliness of information and reducing labor costs. On the other hand, bots are also used to spread disinformation or manipulate discussions for a specific purpose.

[0068] Effective analysis can distinguish between human engagement behavior and social robot behavior. Numerous studies have revealed fundamental differences between social bots and human accounts, starting from standard characteristics such as number of followers, retweets, mentions, and links. However, it should be noted that some social platforms limit the ratio of followers to frien...

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Abstract

The invention discloses a social robot account detection method based on feature evaluation and an improved algorithm, and the method comprises the steps: selecting nine feature attributes as data forming a data set from the point of view of the dynamic change of a social account, and carrying out the classification evaluation of indexes through employing an AUC decision tree on the basis of introducing a machine learning random forest algorithm to recognize the social robot account, and selecting a plurality of decision trees with better performance, and voting to generate model output according to generated results. According to the method, the multi-dimensional dynamic feature social robot account detection model is constructed, the random forest optimization algorithm based on the AUC evaluation standard is combined, low-comprehensive-cost and high-accuracy detection of the social robot accounts is achieved, and the accuracy, the precision ratio and the recall ratio generated by the matrix are confused through the classification algorithm to serve as three indexes for verifying the effectiveness of the detection method.

Description

technical field [0001] The invention belongs to the technical field of network security and automation, and relates to a social robot account detection method based on feature evaluation and an improved algorithm. Background technique [0002] A social robot refers to a program that runs autonomously, publishes generated content, and imitates human activities in order to achieve a specific purpose in a social network. In recent years, as social media platforms have become the most influential public opinion field in the current society, social robots have gradually realized the transformation from the role of information dissemination intermediary to the main role of information dissemination. Studies have shown that a large number of social media users are currently not real humans, but social robots manipulated by automated programs. In addition, the proportion of information generated and published by these robot accounts in the total platform traffic is increasing signif...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06F40/205G06F16/35G06F16/9536
CPCG06Q50/01G06F40/205G06F16/355G06F16/9536
Inventor 罗文华胡舫舷
Owner CHINA CRIMINAL POLICE UNIV
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