Bit by Bit - Matthew J. Salganik

Bit by Bit

Matthew J. Salganik

出版时间

2017-12-05

ISBN

9780691158648

评分

★★★★★
书籍介绍

An innovative and accessible guide to doing social research in the digital age

In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods―a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us.

Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout, and also lays out a principles-based approach to handling ethical challenges in the era of social media.

Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow’s technologies.

Illustrates important ideas with examples of outstanding research

Combines ideas from social science and data science in an accessible style and without jargon

Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration

Features an entire chapter on ethics

Includes extensive suggestions for further reading and activities for the classroom or self-study

Matthew J. Salganik is professor of sociology at Princeton University, where he is also affiliated with the Center for Information Technology Policy and the Center for Statistics and Machine Learning. His research has been funded by Microsoft, Facebook, and Google, and has been featured on NPR and in such publications as the New Yorker, the New York Times, and the Wall Street J...

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用户评论
From Frequency to Bayes, it's not an overturn, but an update.
非常好的教材!虽然单个观点不算多特别,但胜在系统全面,研究建议的可操作性强
感谢师门读书会
很好读,落脚点还是研究设计,为初来乍到者尽力扫除各种障碍,案例取材也不局限于社科研究。书名取social research in the digital age比computational social science 妥帖,中文版直接叫计算社会学让人期待有偏差,但也是中信的基操了。
Matthew好幾年前就寫完了這本書,現在看也覺得非常簡潔易懂,同時提出的見解對social science researcher具有啟發意義,適合初學者以及腦子被一堆理論搞成一團漿糊的junior researcher.
我css兴趣启蒙时(其实现在仍然是进行时)帮我打开方法论之门的神书,看完觉得做学术或许也会很有意思hh
挑着自己喜欢感兴趣的部分读了,computer social science入门推荐 书是老师上课多年的总结,有配套的网站https://www.bitbybitbook.com/en/teaching/
Bible of computational social science
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