Digital Transformation & Global Society: Second International Conference, DTGS 2017, St. Petersburg, Russia, June 21-23, 2017, Revised Selected Papers
The article is focused on the empirical research of using the Common Government Services Portal in South Russia Region. In the study we used such methods as the in-depth interviews, observation, and experiment. As a result of research, it became clear that many portal users do not realize its connection with the State, but classify it as a part of Internet environment. If the user realizes that the portal is a technological intermediary between the State and the citizen, the practice of using it varies considerably with respect to general Internet practices
In this paper, we analyse the strategies and stratification of Russian universities in the Northwestern region. By enriching traditional social network analysis scientometric tools, we developed web presence indicators focused on the contexts in which universities are linked with businesses and are mentioned in media. We treat resulting groups in terms of Gouldner’s cosmopolitans versus locals theory, based on differences in their publication strategies, and embeddedness in business connections and media contexts.
An important role of digital inequality for hindering the development of civil society is being increasingly acknowledged. Simultaneously, differences in availability and the practices of use of social network sites (SNS) may be considered as major manifestations of such digital divide. While SNS are in principle highly convenient spaces for public discussion, lack of access or domination by socially insignificant small talk may indicate underdevelopment of the public sphere. At the same time, agenda differences between regions may signal about local problems. In this study we seek to find out whether regional digital divide exists in such a large country as Russia. We start from a theory of uneven modernization of Russia and use the data from its most popular SNS “VK.com” as a proxy for measuring digital inequality. By analyzing user activity data from a sample of 77,000 users and texts from a carefully selected subsample of 36,000 users we conclude that regional level explains an extremely small share of variance in the overall variation of behavioral user data. A notable exception is attention to the topics of Islam and Ukraine. However, our data reveal that historically geographical penetration of “VK.com” proceeded from the regions considered the most modernized to those considered the most traditional. This finding supports the theory of uneven modernization, but it also shows that digital inequality is subject to change with time.
Abstract. The paper focuses on fashion bloggers as cultural intermediaries, which taste origins connect different audiences and groups in the fashion industry. Our sample consists of 15 blogs, which were nominated for two major awards for fashion bloggers Bloglovin.com and Stylight.com in 2015. We analyzed 1223 looks they produced for 1 year (brand choices for every look). We created a two-mode network (blogger - brand) and converted it to the one-mode network (brand-brand). The main research question is whether fashion bloggers as cultural intermediates tend to follow professional community and replicate its hierarchies or rebel against it by creating theirs owns. The analysis consists of 2 steps. First, we look at three dimensions of brand combination a) mass-market and haute-couture brands b) brands oriented to male or female audiences c) global and local brands. Second, we apply the association rules algorithm to extract combinations of brands matching with not only by the quantity of coupling but probabilistically explore brand unions.
The ability of social media to rapidly disseminate judgements on ethnicity and to influence offline ethnic relations creates demand for the methods of automatic monitoring of ethnicity-related online content. In this study we seek to measure the overall volume of ethnicity-related discussion in the Russian-language social media and to develop an approach that would automatically detect various aspects of attitudes to those ethnic groups. We develop a comprehensive list of ethnonyms and related bigrams that embrace 97 Post-Soviet ethnic groups and obtain all messages containing one of those words from a two-year period from all Russian-language social media (N=2,660,222 texts). We hand-code 7,181 messages where rare ethnicities are over-represented and train a number of classifiers to recognize different aspects of authors’ attitudes and other text features. After calculating a number of standard quality metrics, we find that we reach good quality in detecting intergroup conflict, positive intergroup contact, and overall negative and positive sentiment. Relevance to the topic of ethnicity and general attitude to an ethnic group are least well predicted, while some aspects such as calls for violence against an ethnic group are not sufficiently present in the data to be predicted.
In this work in progress, we analyze how perceived hotel value dimensions and the perception of city sights are connected with categories of hotels. Applying a topic modelling algorithm to 21,165 reviews from 201 hotels located in Saint Petersburg, we show that clients of hotels of different categories pay attention to different value dimensions. Analyzing local aspect of value perception, we show how existing differences in perceiving the city by guests of the hotels can be explained in terms of the diversity of the socioeconomic status of clients.