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Regular version of the site

Digital human - completed projects

OnOffEdu (Student Communication as a Factor in Satisfaction with Education among Bachelor's Students in Online and Offline Learning), 2022-2023
Project leader: Olessia Koltsova
The main objective of this project is to study the peculiarities of student communication as a factor influencing the satisfaction of bachelor's students in online and offline learning.
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DigiFriends (Social capital and privacy online: an urban community on a social networking site), 2017-2021
Project leader: Olessia Koltsova
Social networking sites (SNS) provide their users with a diverse functionality for communication which s enables them to grow their social capital, but simultaneously   poses risks to user privacy. This is  especially true given that communication networks, as a rule, develop within the same city or the closest rural area where anonymity is not always possible.
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BeWell (Predictors of psychological behavior of users of social networks and information technologies)
Project leader: Olessia Koltsova
The project aims to identify and evaluate the characteristics of communication and other "digital footprints" that can predict how satisfied individuals are with their lives.
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Online Social Networks and Success of New Enterpreneurs, 2013-2016
Project leader: Yuri Rykov
The rapid development of the Internet, and in particular the emergence of social networks, affects many spheres of human activity. This largely concerns the business for which the development of online technologies is expanding the zone of influence of marketing and creates a new platform for advertising and promotion of their own product or idea.
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The Impact of the Internet on Protests: Cross-Country Analysis, 2015
Project leader: Eleonora Kirkizh
The research project is a part of student annual final paper "The Impact of the Internet on Protests". 
The purpose of the project is to define and explain the degree of connection between Internet penetration and citizen participation in the protests at the country level as well as identifying the relationship between these variables over the last decade.
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Network Classification and Packet Switching Mapping Ethnic Attitudes in the Russian Blogosphere, 2014
Project leader: Svetlana Bodrunova
The project ‘Mapping Ethnic Attitudes in the Russian blogosphere’is dedicated to mapping the attitudes of the Russian-language bloggers (Russian-language Livejournal segment taken as the case) to various ethnic communities, both within and outside Russia.
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Public Agenda and Public Opinion in the Russian Blogosphere, 2012-2013
Project leader: Olessia Koltsova
This two-year research was the main component of the Lab’s project supported by the Basic Research Program of NRU HSE in 2012 and 2013. It built upon the previous project aimed at the development of methodologies for sociological analysis of the blogosphere. The goal of this research was to describe topical structure of the blogosphere exemplified by the Russian-language LiveJournal and the relationship of this structure to other parameters of blogs. 
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Livejournal Libra: the Blogosphere and Political Mobilization in Russia During the 2011–2012 Election Cycle, 2012-2013
Project leader: Andrey Shcherbak
The research focuses on studying political activity in the Russian blogosphere during the 2011-2012 election campaign. A special methodology, based on automatic methods of uploading, processing, and clustering blog texts, helps to answer important questions about the blogosphere’s role in the political mobilization process during the latest elections in Russia.
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Comment-Based Сommunities in the Blogosphere, 2011-2013
Project leader: Olessia Koltsova
This project supported by the Basic Research Program of NRU HSE investigated the structure of online discussions in order to uncover latent communities of socially important debate.
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Construction of the Problem of Police Brutality in The Russian Blogosphere, 2012
Project leader: Iskander Yasaveyev
This project is a case study that is part of a larger project, ‘ Studying Construction of Social Problems in Blogs with Advanced Methods of Text and Network Analysis’, supported by the HSE Centre for Basic Research in 2012.
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Livejournal Topical Structure Analysis, 2012
Project leader: Olessia Koltsova
This project is a major part of the project ‘A Study of the Construction of Social Problems in BlogswihAdvancedMethods of Text and Network Analysis’, carried out as part of the thematic plan of the Centre for Basic Research in 2012. This methodological project was aimed at social scientist instruments for sociological research of socially important issues discussed in blogs. The research identified discussion themes in blogs during a particular time period.
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Friendship Networks in Online Communities of the Social Movement "Saint Petersburg Observers", 2012 (student's project)
Project leader: Yuri Rykov
This individual mini-project is part of Lab research on online communities that also includes the study of AIDS dissidents by Peter Meylakhs. : The project represents a study of friendship networks inside communities of the virtual social network "Vkontakte" and their communicative activity.
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Commenting Structure of Livejournal (student's project)
Project leader: Victoria Seneva
The research was focused on finding relationships between posts and comments, and determining the basis on which commenting communities are created. The method of network analysis was applied. The following topics were chosen to test the method: the National Parliamentary elections in November 2011, the presidential elections in March 2012, and subsequent discussions in LiveJournal dedicated to these events. Because this was a pilot project, the researcher decided to analyze a sampling of no more than 1,000 posts and to manually determine the relationshipbetween bloggers and commentators.
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A Sentiment Analysis of Livejournal Posts (student's project)
Project leader: Yulia Pavlova
This project is carried out with the support of the HSE Academic Development Foundation in Saint Petersburg in 2012.
Sentiment analysis or tonal analysis concerns the automatic identification of the tone of a text, in other words, the prevalence in it of emotion or attitude (negative, positive, neutral, or complex). The researchers focused on the approbation of this method to determine attitudes toward the theme of Islam in blog comments made in the Russian language. The researchers adapted the Sentistrength software product to the Russian language and approbated it on Russian language data. The adaptation process included translating the English software vocabulary into Russian, recording the frequency of vocabulary based on the comments in LiveJournal, inserting frequency words in the vocabulary, and coding it on an emotions scale of -5 to 5.
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