Method for identifying trolls in online communities
https://doi.org/10.17726/philIT.2022.2.1
Abstract
In the article the problem of recognizing users of social networks, chats and other virtual spaces that are provoked by other users, inciting conflicts between participants of various online communities is investigated. In this work the authors give a brief description of the trolling concept. The relevance of solving the problem of trolling in the social communities of the Internet is shown in connection with the widespread aggressive provocative behavior of individual users in the virtual space, as well as the influence of such behavior on the psyche and general condition of a person. The paper uses the theory of trust functions to process expert observations, estimates or measurements. The proposed approach involves the use of this theory in conjunction with the input of a value that determines the conflict between two combined trust functions. The goal of the work is to test a new approach for calculating potential trolls using a method based on the degree of conflict of trust functions between different messages of the discussion branch in question-answer communities. It is concluded that the possibility of assessing the user’s conflict with the help of a parameter called the measure of the conflict of his messages in relation to the messages of all other users. To simplify the calculation process, the k-means clustering algorithm is applied.
About the Authors
E. V. Izmaylova
Berezniki Branch of Perm Research Polytechnic University
Russian Federation
Russian Federation
Izmaylova Elena Vladimirovna - PhD in Engineering, associate Professor, Department of automation of technological processes
D. A. Alekseev
Berezniki Branch of Perm Research Polytechnic University
Russian Federation
Russian Federation
Alekseev Danila Alekseevich - Student, Department of automation of technological processes
V. V. Svechnikova
Berezniki Branch of Perm Research Polytechnic University
Russian Federation
Russian Federation
Svechnikova Valeria Vladimirovna - Student, Department of automation of technological processes
A. V. Sorokina
Berezniki Branch of Perm Research Polytechnic University
Russian Federation
Russian Federation
Sorokina Anastasia Viktorovna - Student, Department of automation of technological processes
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Review
For citations:
Izmaylova E.V., Alekseev D.A., Svechnikova V.V., Sorokina A.V. Method for identifying trolls in online communities. Philosophical Problems of IT & Cyberspace (PhilIT&C). 2022;(2):4-17. (In Russ.) https://doi.org/10.17726/philIT.2022.2.1
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