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2016 | OriginalPaper | Buchkapitel

Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages

verfasst von : Tatiana Tulupyeva, Alexander Tulupyev, Maksim Abramov, Artur Azarov, Nina Bordovskaya

Erschienen in: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Verlag: Springer International Publishing

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Abstract

The present research deals with the possibility of social network users value orientations reconstruction based on the information contained on the their personal pages. In the first part of the research 126 participants were included. They were students with the average age of 22, 39 % men and 61 % women. During the second part of the research more than 1300 posts published during 15.09.2013 and 15.03.2014 by the 39 users of social network were analyzed by the experts on the basis of developed classification. 89.7 % of respondents connect to the social networks more than 1 time a day and usually serf social networks for a 5 h a day. The study revealed that the expression of users’ value orientations can be associated with a number of quantitative indicators, namely, with the frequency of the publication of posts of different types. The paper presents the dynamics of typing posts. Firstly, twelve types of posts were developed. They included: emotional, advertising, entertainment and reasoning posts. Emotional posts are usually published by the users who has some requirements in love; advertising and entertainment posts usually posted by people who has some requirements in fun and entertainment; reasoning posts can be often observed on the personal pages of users, who has a requirement in the strengthening friendly relations, spiritual and moral self-improvement and a low need in a strong family. Further analysis led to a qualitative change in the classification of posts with the release of the three dimensions of posts: informational, emotional, motivating and separation some subclasses among them.

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Metadaten
Titel
Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages
verfasst von
Tatiana Tulupyeva
Alexander Tulupyev
Maksim Abramov
Artur Azarov
Nina Bordovskaya
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-32554-5_5