Studying Patterns of Communication in Virtual Urban Groups With Different Modes of Privacy
Online petitions are usually regarded as one of the most popular channels to involve citizens in the political process. In our paper we have analyzed texts and voting data (pro and against) from 9705 e-petitions submitted from 2013 until 2017 at Russian Public Initiative project. Analysis of dynamics showed stabilization of interest to this resource (emergence of a new authors, growth of “strong” petitions etc.). Studying success factors of electronic petitions at the Russian public initiative project we found out that the topic and lexical information are significant factors, as well as the level of petitions.
The proceedings contain 65 papers. The topics discussed include: understanding political turbulence: the data science of politics; why we post - the comparative anthropology of social media; applying machine learning to ads integrity at Facebook; large-scale analytics of dynamics of choice among discrete alternatives; privacy and internet governance; computational social sciences: a bricolage of approaches; community detection: from plain to attributed complex networks; utilizing online qualitative methods for web science; likeology: modeling, predicting, and aggregating likes in social media; understanding video-ad consumption on YouTube: a measurement study on user behavior, popularity, and content properties; talking climate change via social media: communication, engagement and behavior; and spreading the news: how can journalists gain more engagement for their tweets?.
The goal of the conference is to help build cross-disciplinary networks of analysts, software specialists, and researchers to advance the use of textual information in multiple science, technology, and business development fields. Within this context, conference themes will include, but are not limited to:
DataSourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources
Text-mining tools and methodsBest practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc. Visualization
Applied researchFuture-Oriented Technology Analysis (FTA) Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)
An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments.
This article addresses the questions, What do children in urban areas do on Saturdays? What type of organizational resources do they have access to? Does this vary by social class? Using diary data on children’s activities on Saturdays in the Phoenix-Mesa-Scottsdale metropolitan area, the authors describe the different types of venues (households, businesses, public space, associations, charities, congregations, and government/tribal agencies) that served different types of children. They find that the likelihood of using a charity or business rather than a government or tribal provider increased with family income. Also, the likelihood of using a congregation or a government facility rather than business, charity, or household increased with being Hispanic. The authors discuss implications for the urban division of labor on Saturdays and offer research questions that need further investigation.
The article examines Russian Harry Potter fan fiction as an anthropological source. The analysis focuses on fan fiction as a cultural practice, Russian online communities devoted to the continuation of Harry Potter stories and their common values, reading strategies and practices of writing. Given that Russian Harry Potter fan fiction writers and readers are mostly women, the author pays attention to gender norms as they are represented in fan fiction texts and reading practices. The article explores the central role that individual choice plays in fan fiction axiology, the representations of sex and corresponding problems of the language, the images of family which are produced and discussed in the community and the possibilities that slash as a fictional frame provides for the manifestation of the community’s essential values.
An important text mining problem is to find, in a large collection of texts, documents related to specic topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to nd the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predened sets of keywords (that dene the topics researchers are interested in) are restricted to specic intervals of topic assignments. We present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.
In 2006, Russia amended its competition law and added the concepts of ‘collective dominance’ and its abuse. This was seen as an attempt to address the common problem of ‘conscious parallelism’ among firms in concentrated industries. Critics feared that the enforcement of this provision would become tantamount to government regulation of prices. In this paper we examine the enforcement experience to date, looking especially closely at sanctions imposed on firms in the oil industry. Some difficulties and complications experienced in enforcement are analysed, and some alternative strategies for addressing anticompetitive behaviour in concentrated industries discussed.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.