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Article overview
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Application of neural networks to identify trolls in social networks | A.V. Filimonov
; A.V. Osipov
; A.B. Klimov
; | Date: |
28 Apr 2015 | Abstract: | In this paper we developed and tested a new algorithm of detecting in social
networks users (so-called trolls) who behave in an insulting and provocative
way towards other users. In order to detect trolls it is proposed to unite
users in groups where all the members have a similar way of communicating.
Defining the number of group and distributing the users into these groups is
carried out automatically due to application of neural networks of special type
- Kohonens self-organized maps. As for users characteristics according to which
the distribution into groups might be done we suggest using such data as the
number of comments, the average comment length and indicators determining the
emotional state of the user (the frequency of encountering certain characters
in comments). | Source: | arXiv, 1504.7416 | Services: | Forum | Review | PDF | Favorites |
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