'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
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.
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"One of the key features of the book is the way each chapter concludes with the pros and cons, the concerns and ethical issues, of the strategies, tactics, and issues raised within. Rather than glossing over ethical issues, the book continually reengages with the most pressing questions of data mining, keeping concerns specific and grounded in research tactics, a feature that will help the book maintain relevance for future researchers, regardless of changes to social media platforms and data relations." (Alisha Karabinus, Convergence, June 20, 2019)
"I am grateful that this book highlights so many aspects of social data mining, including the quantified self movement and the Seeing Data project that identify ways in which ordinary citizens can engage more with the politics of data mining ... . Media studies students and professors seeking a snapshot of scholarship on social media data mining will find this text incredibly helpful asan aggregator of a vast and ideological varied body of scholarship." (Daniel Keyes, PsycCRITIQUES, Vol. 61 (51), December, 2016)
"I am grateful that this book highlights so many aspects of social data mining, including the quantified self movement and the Seeing Data project that identify ways in which ordinary citizens can engage more with the politics of data mining ... . Media studies students and professors seeking a snapshot of scholarship on social media data mining will find this text incredibly helpful asan aggregator of a vast and ideological varied body of scholarship." (Daniel Keyes, PsycCRITIQUES, Vol. 61 (51), December, 2016)
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