Overview
In just the past several years, we havewitnessed the birth and rapid spread of social media, mobile phones, andnumerous other digital marvels. In addition to changing how we live, thesetools enable us to collect and process data about human behavior on a scalenever before imaginable, offering entirely new approaches to core questionsabout social behavior. Bit by Bit is the key to unlocking these powerfulmethods—a landmark book that will fundamentally change how the next generationof social scientists and data scientists explores the world around us.
Bit by Bit is the essential guide tomastering the key principles of doing social research in this fast-evolvingdigital age. In this comprehensive yet accessible book, Matthew Salganik explainshow the digital revolution is transforming how social scientists observebehavior, ask questions, run experiments, and engage in mass collaborations. Heprovides a wealth of real-world examples throughout and also lays out aprinciples-based approach to handling ethical challenges.
Bit by Bit is an invaluable resource forsocial scientists who want to harness the research potential of big data and amust-read for data scientists interested in applying the lessons of socialscience to tomorrow’s technologies.
Illustrates important ideas with examplesof outstanding research
Combines ideas from social science and datascience in an accessible style and without jargon
Goes beyond the analysis of “found” data todiscuss the collection of “designed” data such as surveys, experiments, andmass collaboration
Features an entire chapter on ethics
Includes extensive suggestions for furtherreading and activities for the classroom or self-study
About the author
Matthew J. Salganik is professor ofsociology at Princeton University, where he is also affiliated with the Centerfor Information Technology Policy and the Center for Statistics and MachineLearning. His research has been funded by Microsoft, Facebook, and Google, andhas been featured on NPR and in such publications as the New Yorker, the NewYork Times, and the Wall Street Journal.
本书中文翻译版内容简介
我们已经见证了社交媒体、智能手机以及其他科技奇迹的诞生与进化，这些科技工具让我们能够以前所未见的规模和深度采集并处理有关人类行为的数据，从而为研究人类社会提供了一个全新的路径。这本书是一部里程碑式的作品，它将彻底改变下一代社会科学家和数据科学家探索世界的方式。
大数据的10个共同特征是什么？
如何通过数据预测美国总统大选的结果？
如何在短时间内对100万个星系进行分类？
大规模数据采集面临着怎样的道德伦理困境？
科技公司是否在监视我们的行为，数字时代是不是将我们带进了“全景监狱”呢？
在计算社会学这一新兴领域，作者阐述了数字革命如何扭转了社会科学家和数据科学家观察行为、提出问题、开展实验和进行大规模协作的方式，详细描述了大批真实的案例，并且划定了面临伦理挑战时需要遵循的4项原则。
这本书用全新的数据模式解锁了社会学。对社会科学家来说，它是一本跨界指南之书；对数据科学家来说，它是一本素养提升之作。
来源：综合网络资料整理
转自：量化研究方法
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