جامعه داده‌محور: مطالعه فرهنگ از طریق داده

As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation. As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research. AUP S17 Catalogue text As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation. Table of Contents Acknowledgements Foreword Introduction Section 1. Studying Culture through Data 1. Humanistic Data Research 2. Towards a ‘Humanistic Cinemetrics’? 3. Cultural Analytics, Social Computing and Digital Humanities 4. Case Study 5. Foundations of Digital Methods 6. Case Study Section 2. Data Practices in Digital Data Analysis 7. Digital Methods 8. Data, Culture and the Ambivalence of Algorithms 9. Unknowing Algorithms 10. Social Data APIs 11. How to Tell Stories with Networks 12. Towards a Reflexive Digital Data Analysis Section 3. Research Ethics 13. Get Your Hands Dirty 14. Research Ethics in Context 15. Datafication & Discrimination Section 4. Key Ideas in Big Data Research 16. The Myth of Big Data 17. Data Point Critique 18. Opposing the Exceptionalism of the Algorithm 19. The Need for a Dialogue with Technology Tools Notes on Contributors Index

A collection of essays studying the rapid changes in coastal settlements due to the conflicting interests of traditional and new stakeholders