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Palgrave Macmillan

Post, Mine, Repeat

Social Media Data Mining Becomes Ordinary

  • Book
  • © 2016

Overview

Authors:
  1. Helen Kennedy

    1. Department of Sociological Studies, University of Sheffield, Sheffield, United Kingdom

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xv
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  2. Social Media Data Mining Becomes Ordinary

    • Helen Kennedy
    Pages 1-17

  3. Why Study Social Media Data Mining?

    • Helen Kennedy
    Pages 19-39

  4. What Should Concern Us About Social Media Data Mining? Key Debates

    • Helen Kennedy
    Pages 41-66

  5. Public Sector Experiments with Social Media Data Mining

    • Helen Kennedy
    Pages 67-97

  6. Commercial Mediations of Social Media Data

    • Helen Kennedy
    Pages 99-127

  7. What Happens to Mined Social Media Data?

    • Helen Kennedy
    Pages 129-157

  8. Fair Game? User Evaluations of Social Media Data Mining

    • Helen Kennedy
    Pages 159-187

  9. Doing Good with Data: Alternative Practices, Elephants in Rooms

    • Helen Kennedy
    Pages 189-219

  10. New Data Relations and the Desire for Numbers

    • Helen Kennedy
    Pages 221-236

  11. Back Matter

    Pages 237-262
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Keywords

About this book

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, and also 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.

Reviews

“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)


Authors and Affiliations

  • Department of Sociological Studies, University of Sheffield, Sheffield, United Kingdom

    Helen Kennedy

About the author

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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