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Almazova O.V., Dolgikh A.G., Molchanov S.V., Agarkov D.V., Denisenko S.O., Levshina M.A., Lysaya T.E., Mariin S.S., Samuylova O.S. (2019). The Peculiarities of Adolescents’ Perceptions of Peer Profile Users of Social Networks. Moscow University Psychology Bulletin, 4, 21-43

Background. The relevance of this study is associated with the widespread use of social media by adolescents with a high risk of turning to aggression and violence.

Objective. The purpose of the study is to investigate the characteristics of adolescents' perceptions of peer profiles in social networks that vary in degrees of “security,” and their readiness to carry out various communicative actions depending on their psychological characteristics. We hypothesized that: 1) There is a connection between the psychological characteristics of adolescent users of a social network, and their ability to differentiate profiles of peers-users of social networks and communicative actions in social networks; and 2) The oculomotor activity of adolescent users of social networks is associated with the degree of attractiveness of a peer profile.

Design. We used the methods of “Peer attachment” (G. Armden, M.T. Greenberg, 1987 as adapted by G.V. Burmenskaya, 2015); Emotional intelligence (D.V. Lyusin, 2009); Recognition of emotions by sight (S. Baron-Cohen et al., 2001); cognitive methods for assessing social information (S.V. Molchanov et al., 2018); eye-tracking technique; and conversation. The study included 40 adolescents 14 to 17 years old.

Results.We distinguished three groups which differed in their attachment to peers, emotional intelligence, and cognitive methods of processing social information; they comprised three types – “idealizing,” “selective,” and “cautious.” We showed that the "selective type" is characterized by the highest degree of differentiation of "dangerous" and "safe" profiles of peers in social networks, and high selectivity in implementing various communicative actions. The greater attractiveness of the main information in a peer’s profile is reflected in more fixations, fixation time, and returns to the zone. 

Acknowledgments.This work was financially supported by the Russian Federal Property Fund No. 18-013-01080 “Cognitive methods for processing social information from the Internet as a factor in the formation of adolescents' ideas about the moral regulation of relations in the modern information society”.

Received: 08/10/2019

Accepted: 10/01/2019

Pages: 21-43

DOI: 10.11621/vsp.2019.04.21

Keywords: social networks; adolescence; cognitive methods of social information processing;

By: Almazova, Olga V.; Dolgikh Alexandra G.; Molchanov S.V.; Agarkov, Dmitriy V.; Denisenko, Sergey O.; Levshina, Maria A.; Lysaya, Tatiana E.; Mariin, Sergey S.; Samuylova, Olga S.;

Available Online: 08/31/2019

Enikolopov S.N., Kovalev A.K., Kiznetsova J.M., Chudova N.V., Starostina E.V. (2019). Features of texts written by a frustrated person. Moscow University Psychology Bulletin, 3, 66-85

Relevance. The designing of tools to identify a psychological distress in network is one of the most significant challenges of the era of information technology. There are evidences of certain peculiarities of the speech and textual activity of frustrated person. However, for texts in Russian, any tool for monitoring of the intensity of frustration in online content does not currently exist. 

Objective. The purpose of our work is the listing of text features to carry out automatic analysis of the network content for detecting texts of frustrated users.

Methods. The material of the study is a set of posts and comments of 2-10 sentences collected in social networks LiveJournal, Pikabu and Facebook were written by 100 Russian-speaking users aged 27-64 years. The texts were divided as written by unexcited persons (500 texts) and by frustrated persons (500 texts). For automatic text analysis, the "RSA Machine" created in Federal Research Center "Computer Science and Control" of Russian Academy of Sciences was used, which allows to determine 197 text features, to compare texts, and to identify the most important dividing features. Mathematically, the texts were classified using the machine learning.

Results. The Random Forest method with a preliminary binarization procedure revealed the most significant features of text written by frustrated person: the sentiment; the frequency of punctuation, negative word forms and first-person pronouns; the number of semantic roles causative, liquidative and destructive; number of particles, invectives and words from the vocabulary of resistance.

Conclusions. Using the identified features the network texts written by frustrated person can be confidently determined; it is applicable for monitoring in order to ensure information and psychological security.

Received: 06/08/2019

Accepted: 06/19/2019

Pages: 66-85

DOI: 10.11621/vsp.2019.03.66

Keywords: frustration; social networks; text features; text mining; machine learning;

By: Enikolopov S.N.; Kovalev A. K.; Kuznetsova J. M. ; Chudova N. V.; Starostina E. V.;

Available Online: 08/29/2019

Asmolov A.G., Asmolov G.A. (2010). From We-media to I-media: Identity transformations in the virtual world. The Moscow University Psychology Bulletin, 1, 3-21

The blogs as the platform for a virtual personality construction are considered in the article on the assumption of the positions of L.S. Vygotsky’s cultural-historical approach. Internet journalism practices are considered as the example for the processes of virtual «I» formation. The authors affirm that the appearance of consecutive and stable «I-representation» in Internet is the necessary condition for a change in dynamics of social nets development from motives which are out of Internet (in physical space) towards situation when a virtual personality is enough full-fledged to be a motive for new social interactions creation not leaving Internet. As a result a virtual personality turns into a net-creating factor and Internet loses its unoriginality in relation to physical space.

Pages: 3-21

Keywords: virtual personality; cultural-historical psychology; social networks; Internet journalism; blogs; social media;

By: Asmolov, Grigorii A.; Asmolov A.G.;


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