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Молодежь и интернет-контент: анализ больших данных
The article presents a study aimed at studying the interaction of adolescents and young people with Internet content, as well as identifying the relationship of their psychological characteristics with the "digital footprint" in social networks for subsequent forecasting. of these characteristics in the entire target audience. The study was conducted during 2020; it was attended by 12 223 pupils of schools, colleges and universities of the Russian Federation: 7741 girls and 4482 boys living in Moscow, Nizhny Novgorod, Voronezh, Sevastopol, Tomsk, Tyumen. Average age of study participants to whom was between 14 and 25 years old, was 17.65 years old. To study their "digital footprint", predict and analyze the target audience that did not pass psychological testing, there was
3 003 750 user profiles were uploaded using the "Portal for work with
data of social networks" OF Tomsk State University, living in the same regions as the respondents who participated in the psychological testing.
The study was conducted using the questionnaire "Psychodiagnostics of the motivational structure of the personality" (author − V.E. Milman), a specially designed questionnaire for studying the features of the interaction of adolescents and young people with Internet content (author - V.V. Shcherbakova) and software tools that allow you to work with large Data. In addition, specifically for the collection of psychological diagnostic data, TSU specialists developed a questionnaire site ivik.org, which facilitates the collection of data on the "digital footprint". A detailed analysis of the results obtained is presented in the monograph (Podolsky et al., 2021), the article only identifies the identified "pain points". Based on typological portraits for the target audience were compiled for the data obtained
by different segments (region, age, gender, etc.) and by different characteristics (publication activity, structure of the network of connections (friends), migration trends, alignment architecture of information flow interconnections, etc.).