Post, Mine, Repeat

Social Media Data Mining Becomes Ordinary
1. Auflage 2016
ISBN: 978-1-137-35397-9
Verlag: Palgrave Macmillan UK

Buch, Englisch, 262 Seiten, HC runder Rücken kaschiert, Format (B × H): 153 mm x 216 mm, Gewicht: 4653 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Kennedy, Helen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften Digitale Medien, Internet, Telekommunikation
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

1. Social media data mining becomes ordinary.- 2. Why study social media data mining?.- 3. What should concern us about social media data mining? Key debates.- 4. Public sector experiments with social media data mining.- 5. Commercial mediations of social media data.- 6. What happens to mined social media data?.- 7. Fair game? User evaluations of social media data mining.- 8. Doing good with data: alternative practices, elephants in rooms.- 9. New data relations and the desire for numbers

Über Autor(innen)

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.