Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary

Author:   Helen Kennedy
Publisher:   Palgrave Macmillan
Edition:   1st ed. 2016
ISBN:  

9781137353979


Pages:   262
Publication Date:   03 June 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary


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Full Product Details

Author:   Helen Kennedy
Publisher:   Palgrave Macmillan
Imprint:   Palgrave Macmillan
Edition:   1st ed. 2016
Dimensions:   Width: 14.80cm , Height: 1.80cm , Length: 21.00cm
Weight:   4.653kg
ISBN:  

9781137353979


ISBN 10:   113735397
Pages:   262
Publication Date:   03 June 2016
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

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 as an aggregator of a vast and ideological varied body of scholarship. (Daniel Keyes, PsycCRITIQUES, Vol. 61 (51), December, 2016)


“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)


Author Information

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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