Assessment of the reliability of information collected from social networks

Authors: Kharlamov N.L., Latysheva L.A.
Published in issue: #3(32)/2019
DOI: 10.18698/2541-8009-2019-3-452
Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security
Keywords: social network, social graph, community highlighting, search for bots, public opinion leaders, virtual users, algorithm for detecting bots
Published: 18.03.2019

A brief review of existing methods for detecting bots, based on statistical and semantic analysis of texts, behavioral analysis and graph-theoretic approach, is presented. An example of the application of the algorithm for allocating communities to solve the accompanying problem - the search for leaders of public opinion is given. A new approach to the detection of bots, based on the analysis of communities in the graph of the nearest environment of the user, is proposed. The proposed method was tested on two samples of virtual users from the social network VKontakte: managed bots and bots manually collected by one of the users. For verification, a sample of 700 legitimate users was used.

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