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Coal, iron ore and oil were the fuel of the Industrial Revolution. Today's economies and governments are powered by something far less tangible: the explosive abundance of digital data.Steve Lohr, the New York Times' chief technology reporter, charts the ascent of Data-ism, the dominating philosophy of the day in which data is at the forefront of everything and decisions of all kinds are based on data analysis rather than experience and intuition. Taking us behind the scenes and introducing the DOPs (Data Oriented-People), the key personalities behind this revolution, he reveals how consuming

Big data -- Social aspects. --- Data mining -- Social aspects. --- Electronic data processing -- Social aspects. --- Information technology -- Social aspects.

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'Post, Mine, Repeat is a genuinely ground-breaking and original piece of work, in which Helen Kennedy shares a range of important and revealing empirical insights into the practices of data mining. To my knowledge, no-one before has managed to produce such detailed research into data mining. The book shows how data mining fits into commercial monitoring, into organisations, into activism and into public sector services, how these are changing, and exactly what part data mining plays in empowerment and resistance, as well as surveillance and control. It is accessible, yet it tells some complex stories. This really is a tremendous, agenda-setting piece of work.' - Dr David Beer, University of York 'Helen Kennedy has written an enlightening, informative and utterly convincing book. The focus of Post, Mine, Repeat on "ordinary" uses of data mining is a hugely welcome and much-needed contribution to debates about the role of big data in society. I’m so glad that Kennedy’s sane, measured, thoughtful, careful, eloquent, ethical voice is there in these debates, for me to cite, recommend and go back to for guidance whenever I get into arguments on the vitally important topics she covers.' - Professor David Hesmondhalgh, University of Leeds 'This is a much-needed study on the importance of data mining to workers in ordinary organisations and more generally in society. What sets this book apart from other academic studies is its empirical focus: through interviews with users, professional data miners and key agents in organisations, Helen Kennedy tackles the larger issues involved in data mining and renders them concrete. The book is clearly focused and persuasively argued, a must-read for anyone who wants to understand what happens next in the world of Big Data.' - Professor José van Dijck, University of Amsterdam In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised by a widespread desire for numbers and the troubling consequences of this desire, by the possibility of doing good with data and resisting data power, by new and old concerns, and by instability and contradiction. Drawing on action research with public sector organisations, interviews with commercial social insights companies and their clients, focus groups with social media users and other research, Kennedy provides a fascinating and detailed account of living with social media data mining inside the organisations that make up the fabric of everyday life. Helen Kennedy is Professor of Digital Society at the University of Sheffield, UK. She has researched and published widely across the field of digital media, from web homepages to data visualisations, from race, class, gender inequality to learning disability and web accessibility, from web design to social media data mining.

sosiale medier --- datamining --- Culture --- Communication. --- Social media. --- Data mining. --- Cultural and Media Studies. --- Social Media. --- Media and Communication. --- Data Mining and Knowledge Discovery. --- Study and teaching. --- User-generated media --- Communication, Primitive --- Mass communication --- Cultural studies --- Communication --- User-generated content --- Sociology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data mining --- Social media --- Data mining - Social aspects --- Social media - Data processing

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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

Methods in social research (general) --- Data mining --- Social media --- Online social networks --- Big data --- Social aspects --- Social media. --- Online social networks. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Electronic social networks --- Social networking Web sites --- Virtual communities --- Social networks --- Sociotechnical systems --- Web sites --- User-generated media --- Communication --- User-generated content --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Social aspects. --- Communities, Online (Online social networks) --- Communities, Virtual (Online social networks) --- Online communities (Online social networks) --- Data mining - Social aspects

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The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems. Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: Includes a thorough introduction to this exciting and blossoming field Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks Discusses the design and use of a wide range of computational tools and software for social network analysis Describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.

Data mining -- Social aspects. --- Information visualization. --- Social networks -- Data processing. --- Online social networks --- Social networks --- Data mining --- Information visualization --- Engineering & Applied Sciences --- Sociology & Social History --- Electrical & Computer Engineering --- Social Sciences --- Social Change --- Telecommunications --- Computer Science --- Data processing --- Social aspects --- Information Technology --- Computer Science (Hardware & Networks) --- Data mining. --- Data processing. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data visualization --- Visualization of information --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Computer science. --- Computer communication systems. --- Database management. --- User interfaces (Computer systems). --- Computers and civilization. --- Computer Science. --- Computer Communication Networks. --- Database Management. --- User Interfaces and Human Computer Interaction. --- Computers and Society. --- Database searching --- Information science --- Visual analytics --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Informatics --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Civilization and computers --- Civilization --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Distributed processing