Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary
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.
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Why Study Social Media Data Mining?
What Should Concern Us About Social Media Data Mining? Key Debates
Public Sector Experiments with Social Media Data Mining
Commercial Mediations of Social Media Data
What Happens to Mined Social Media Data?
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academic social media acknowledged action research actors advertising algorithmic Amazon Mechanical Turk analysis analytics Andrejevic argues big data boyd and Crawford Christopher Birchall clients commercial communication concern context contextual integrity Council critical cultural data activism data mining methods data mining practices data power datafication datasets described desire for numbers develop digital data digital methods Dijck discussed in Chapter ethical example experiments expertise explore Facebook fair focus groups forms of data function creep Gerlitz hackathons highlight identify interviewees issues keywords LinkedIn media data mining Media Organisation museums Non-profit norms open data ordinary organisations participants partners people’s possible potential problems produce public sector organisations questions relation to data responses share social data social media activity social media data social media insights social media platforms social media users structures studies suggest surveillance technologies tion transparency Turow tweets Twitter understanding visualisation workers YouTube