奎克的藏经阁 · 原书印刷页

If...Then Algorithmic Power and Politics · 第 vii 页

PDF 物理页索引 7 · IF...THEN

书名
If...Then Algorithmic Power and Politics
作者
未记录
印刷页
vii
PDF 物理页
7(从 0 开始)
章节
IF...THEN
UUID
1d3bd28e-c1ba-4af2-8580-60b32ef26053
来源类型
original_book
页面 SHA-256
feb109f0fcf61e63cd5c7c023d4eae3e38559fddc82a9f63d4958720e9ebe453

Acknowledgments

I enjoyed writing this book. The initial idea behind this book started taking shape as a dissertation at the University of Oslo, but soon evolved into something else entirely, as most things do. I therefore owe a sense of gratitude toward all the eforts I put into my PhD project. Memories of past struggles greatly lessened the burden of undertaking and writing my first book. The encouragement and the generosity of series editor Andrew Chadwick and editor Angela Chnapko at Oxford University Press were also huge contributions to that end, as well as fundamental in developing this project. Thanks to both of you for believing it would make a valuable contribution to the Oxford Studies in Digital Politics series. The book is a product of various encounters with people, things, and places. It was writen in the libraries, ofices, homes and cafés of Copenhagen, Oslo, Berlin, and New York. Writing allowed me to explore these places in new ways. I’d also like to acknowledge the sunlight, cofee, sounds, views, connectivity, and solitude that these places helpfully ofered. The University of Copenhagen has provided a rich academic community, and I am grateful to all my colleagues at the Centre for Communication and Computing for the intellectual discussions and support. Thanks to Shannon Matern for hosting me at the New School in New York for my sabbatical. A number of people have provided valuable feedback on the book as it emerged: Anne-Brit Gran, Michael Veale, Angèle Christin, Ganaele Langlois, and Fenwick McKelvey. Thanks for your insightful comments. My appreciation also goes to all people involved in the editorial process, copyediting, transcription services, and to all the anonymous referees whose work and critical remarks have greatly improved the final product. There are countless other scholars and students met at conferences and seminars to thank as well for their keen interest in my work and their astute suggestions. I hope a collective word of thanks will be accepted. This book also benefited from insightful interviews and conversations with media leaders, producers, and social media users. I am grateful to all the people who generously agreed to be interviewed and for giving up their time to help me understand the world of algorithms a bit beter.

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