Method and system for detecting social robots by fusing user behavior and text information

Abstract

The invention belongs to the technical field of computers, and specifically provides a method and system for detecting social robots that integrate user behavior and text information. Aiming at solving the problems of manually selecting features, ignoring the logic and timing between social media posts and ignoring social platform user behavior information in the prior art, the detection method of the social robot of the present invention includes obtaining the historical network of social media users to be detected Data and friend network data; based on the above data, user text feature vectors, behavior feature vectors and friend network feature vectors are obtained, and they are fused to obtain user feature vectors of social media users to be detected; user feature vectors are detected and detection results are output . The method of the present invention is more in line with the characteristics of social media itself, analyzes the social media users to be detected from multiple dimensions, and improves the detection accuracy. The system of the present invention also has the above beneficial effects.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method and system for detecting social robots that integrate user behavior and text information. Background technique [0002] With the rapid development of Internet technology and social media platforms, there are a large number of social robots on major social media platforms at home and abroad. These social robots create and publish false news, spread rumors, create network traps, and influence or even manipulate the development trend of public opinion. , these behaviors seriously interfere with the normal life of netizens, threaten the privacy and security of social media users, and even have a bad impact on society. Therefore, how to accurately detect robots in social media platforms and prevent social robots from bringing It has very important practical value. [0003] The early identification of social robots mainly relied on specific artificial strategies...

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