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The authors make a supposition that any social network is an array of texts that can be formally analyzed. Relying on the ideas of culturalhistorical psychology, the authors consider the text as a model that is used to cognize the world and with the help of which higher mental functions are formed. The network text is analyzed as a semiotic system. The authors have created categories of the content analysis of pages in the social network VKontakte. These categories help to assess a person’s aggressiveness and auto-aggressiveness. The respondents were 58 women and 63 men aged from 17 to 23. Complex research into aggressiveness and auto-aggressiveness, and deviant behavior was carried out using V.V. Boiko’s and A.N. Orel’s methodologies. The data of the content analysis and the data of both tests were statistically processed. The analysis using Pearson’s correlation coefficient demonstrated many interconnections between the presence and the extent of the content analysis categories and the data from the standardized methodologies. A strong direct correlation relationship between the autoaggressiveness index by V.V. Boiko’s methodology and reasons for violence (0,72), depression (0,92), auto-aggression (0,63) and isolation (0,63) are similar with the data received applying the self-harming scale methodology by A.N. Orel: there is a strong direct correlation with violence (0,72), depression (0,93), auto-aggression (0,64) and isolation (0,68). The authors found a strong direct correlation between motives for violence and the tendency for aggression and violence index in accordance with A.N. Orel’s methodology (0,72). By A.N. Orel’s methodology he authors found a strong direct correlation between the motive for accepting criminal norms and the tendency for

Aggressivness and Autoagressivness in the Web Text: Content Analysis of Pages in the Social Network «VKontakte»