PSYCHOLOGICAL PREDICTORS COMPLEX CHARACTERIZING HUMAN BEHAVIOR ONLINE

Abstract

Current political situation in the world needs elaboration of approaches to ensuring a psychologically safe behavior of users in the information space. That is why significant problem is to analyze the complex of socio-psychological predictors characterizing user's behavior on the Internet space, as well as multivariate analysis of external and internal environment with the aim of providing opportunities of positive influence on the network users in case of negative personal tendencies. Planned: identify a set of psychological predictors; system-integrated, multi-factor analysis of the external and internal environment of the user; study of the dynamics of user behavior changes in order to identify periods characteristic of negative personal tendencies, and to determine their connection with the influence of meteorological conditions, seasonality and identified cases of a destructive impact on the user; determination of exposure to the influence of social network users, depending on the factors of their internal and external environment. Results of the study will provide the ability to provision point to a positive impact on the clusters of users corresponding to the types of temperament and periods, characterized or uncharacterized of their negative personal trends, including those identified in the cases of destructive impact on the user's of social network, and depending on the personal tolerance of different weather conditions and seasonality, which together contributes to a psychologically safe human behavior in the information space.

Keywords

• Psychological predictors
• in-depth analysis of big data
• behavior in social network
• user's internal and external environment
• informational image of the user
• negative personal trends
• changes behavior dynamics
• interpersonal online interaction
• informational influence
• the influence of meteorological conditions on the user
• the types of user's temperament
• monitoring of social activity
• multivariate analysis
• multivariate correlation matrix
• neural network processing of the Internet content