Compromised Data: From Social Media to Big Data, Greg Elmer, Ganaele Langlois, Joanna Redden
Старое издание
Автор: Greg Elmer, Ganaele Langlois, Joanna Redden Название: Compromised Data: From Social Media to Big Data ISBN: 1501306502 ISBN-13(EAN): 9781501306501 Издательство: Bloomsbury Academic Цена: 22176.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание:
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance.
Compromised Data: From Social Media to Big Data explores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.
Автор: Greg Elmer, Ganaele Langlois, Joanna Redden Название: Compromised Data: From Social Media to Big Data ISBN: 1501306502 ISBN-13(EAN): 9781501306501 Издательство: Bloomsbury Academic Рейтинг: Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance.
Compromised Data: From Social Media to Big Data explores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.
Автор: Aki-Hiro Sato Название: Applications of Data-Centric Science to Social Design ISBN: 9811071934 ISBN-13(EAN): 9789811071935 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects—human behavior, data-centric science, and social design—independently and with regard to the relationships among them.
Автор: Maier Mark, Imazeki Jennifer Название: The Data Game: Controversies in Social Science Statistics ISBN: 0765629801 ISBN-13(EAN): 9780765629807 Издательство: Taylor&Francis Рейтинг: Цена: 7042.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces students to the collection, uses, and interpretation of statistical data in the social sciences. It would suit all social science introductory statistics and research methods courses. Separate chapters are devoted to data in the fields of demography, housing, health, education, crime, the economy, wealth, income, poverty, labor, business statistics, and public opinion polling, with a concluding chapter devoted to the common problem of ambiguity. Each chapter includes multiple case studies illustrating the controversies, overview of data sources including web sites, chapter summary and a set of case study questions designed to stimulate further thought.
Описание: This book will help researchers to maximize the impact and highlight the innovation of their research by showing them how to get the most out of social media when evaluating, presenting and disseminating their work.
Название: Analyzing social media data and web networks ISBN: 1349446807 ISBN-13(EAN): 9781349446803 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Including contributions from a range of academic disciplines including Political Science, Media and Communication Studies, Economics, and Computer Science, this study showcases a new methodological approach that has been expressly designed to capture and analyze web data in the process of investigating substantive questions.
Автор: Magallanes Reyes Jose Manuel Название: Introduction to Data Science for Social and Policy Research ISBN: 1107540259 ISBN-13(EAN): 9781107540255 Издательство: Cambridge Academ Рейтинг: Цена: 4750.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Some of the most prominent figures in the Beat Movement were attracted to the new Cuba as a place where people would be racially equal, sexually free, and politically enfranchised. Todd Tietchen clearly documents the multiple ways in which the Beats engaged with the scene in Havana. He also demonstrates that even in these early years the Beat movement expounded a diverse but identifiable politics.
Описание: Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.
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