Free Download Bit by Bit: Social Research in the Digital Age

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Review

"Winner of the 2019 PROSE Award in Textbook / Social Sciences, Association of American Publishers""Salganik is one of the first natural-born computational social scientists, a sociologist whose doctoral work was one of the early landmark projects in the field. Bit by Bit is 90% textbook, 10% biography, putting into personal context issues that Salganik was among the first to wrestle with. . . . The text is clearly written--even breezy, in parts. It puts the reader in the shoes of the researcher: What decisions were made, why, and were those the best choices? It is suitable for an advanced undergraduate or graduate class in methodology, with a rigorous, mathematical appendix and a range of useful problems at the conclusion of each chapter."---David Lazer, Science"This is a book to return to time and again. . . . Bit by Bit should be widely read by those engaging in social research, as well as beyond."---Farida Vis, Times Higher Education"An enticing and important field guide to the new frontier of digital social research that will be of interest whether one is trying to figure out how to do more evidence-based policymaking or simply sell more toothpaste online. Impeccably organized and beautifully written in clear and accessible prose, the book doubles as a methods textbook for university students studying social and data sciences (or any field where research is at the center)."---Beth Noveck, Forbes"Given the book's breadth, it is a recommended read for all scholars interested in the role that the internet and big data can play in social research."---Tatsiana Amosaya, Canadian Journal of Sociology"The implications and potential for social science arising from the availability of large amounts of data have been comparatively overlooked. This book provides a welcome insight into what can be achieved, and also an exemplar curriculum for graduate studies."---Thomas King, Journal of the Royal Statistical Society"A timely and important must-read for anyone interested in the intersection of social science and big data."---Magdalena Wojcieszak, International Journal of Press/Politics"In this engaging book about the evidence base of social scientific discovery, Matthew Salganik takes us on an important journey--from asking people their opinions, to watching and recording what people do, to noticing when the world inadvertently creates research data, to convincing research subjects to collect data for us, and even to recruiting thousands of citizens, citizen-scientists, and social scientists to collaborate in data collection and analysis."--Gary King, Harvard University"Digital data is transforming social science, driving exciting innovations in methods while also raising difficult questions about reliability, relevance, and ethics. Written by one of the world's most respected computational social scientists, Bit by Bit addresses the benefits as well as the pitfalls of leveraging digital data for scientific insight. The result is a highly readable yet intellectually rigorous introduction to the brave new world of computational social science."--Duncan Watts, Microsoft Research"This thoughtful, elegant, and entertaining book will be the how-to manual for doing exciting social science in the digital age. For anyone who wants to do experiments in an ethically sound way, it will be indispensable."--Helen Margetts, director of the Oxford Internet Institute

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From the Back Cover

"In this engaging book about the evidence base of social scientific discovery, Matthew Salganik takes us on an important journey--from asking people their opinions, to watching and recording what people do, to noticing when the world inadvertently creates research data, to convincing research subjects to collect data for us, and even to recruiting thousands of citizens, citizen-scientists, and social scientists to collaborate in data collection and analysis."--Gary King, Harvard University"Digital data is transforming social science, driving exciting innovations in methods while also raising difficult questions about reliability, relevance, and ethics. Written by one of the world's most respected computational social scientists, Bit by Bit addresses the benefits as well as the pitfalls of leveraging digital data for scientific insight. The result is a highly readable yet intellectually rigorous introduction to the brave new world of computational social science."--Duncan Watts, Microsoft Research"This thoughtful, elegant, and entertaining book will be the how-to manual for doing exciting social science in the digital age. For anyone who wants to do experiments in an ethically sound way, it will be indispensable."--Helen Margetts, director of the Oxford Internet Institute"A tremendously useful introduction for data scientists to the pressing questions of the social sciences, and for social scientists to the mindset and toolset of data science. With skill and scholarly insight, Salganik addresses the ethical questions that arise at the intersection of data science and social science."--Chris Wiggins, Columbia University"Bit by Bit is, by far, the best and most up-to-date book on modern social science. Salganik writes compellingly and inspiringly. He has done a wonderful job of collecting a diverse set of meaningful examples and describing how they are important in language anyone can understand."--Sean Taylor, research scientist, Facebook"This book is a gem—a rare combination of a highly accessible and engaging writing style coupled with an introduction to advanced computational methods for collecting and analyzing observational and experimental data."--Michael Macy, Cornell University

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Product details

Hardcover: 448 pages

Publisher: Princeton University Press (December 5, 2017)

Language: English

ISBN-10: 0691158649

ISBN-13: 978-0691158648

Product Dimensions:

7.5 x 1.2 x 9.2 inches

Shipping Weight: 2.2 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

9 customer reviews

Amazon Best Sellers Rank:

#132,317 in Books (See Top 100 in Books)

Bit by Bit is, for a textbook, surprisingly engaging and well written. In it Dr. Salganik describes the changes that Big Data is causing in the social sciences. Written from an optimistic perspective, the text focuses mainly on the new kind of experiments Big Data makes possible. The citations to exemplar papers in the social sciences using Big Data are particularly helpful.The one hesitation I have about recommending the book isn’t a fault in the text itself. I conduct retrospective observational studies in health care for a living. While research like this is briefly described, the book is really intended as a text introducing advanced collegians or graduates to the types of social science research now possible given the Big Data revolution. It is not, for example, a technical summary of all the many ways to conduct a case/control experiment or the types of results that can be found with various kinds of regression analysis.In other words, the book is very good in what it sets out to do but shouldn’t be used more expansively as a technical introduction to social science research.Since the book is written so engagingly, with true excitement over the research potential of Big Data, the book is best used to get young social scientists interested in this kind of research—even to writing a doctoral dissertation of this kind. Supplemented with the actual papers cited in the book, I can’t think of a better text to make social science research interesting and important.In short, a unique introduction to the kinds of research now possible in social science. Just do not try to use the book beyond its stated purpose.

This book is fantastic. As a sociologist, I've been waiting for a book like this to introduce the world of social science to digital age methodologies. Very clear and easy to read. It was for a class, but it was so interesting, I just kept reading it and finished it in a couple of weeks.

This book covers many uses and issues with data science. Even if you know the topics the papers the author goes over are very interesting and a good reference.

Excellent book for social scientists!

Salganik is at the forefront of a new era that brings social science into the digital age. The book goes well beyond "big data" to unpack the possibilities of doing social science research at a massive scale, and relatively inexpensively. This book should be read by social scientists who want to expand their research horizons, data scientists who want to understand how to incorporate the insights of social science, and anyone in a line of work in which they have potential data that can give them insights into how people behave.The great thing about the book is that it's written very accessibly and leans heavily on vivid examples to illustrate the principles it's trying to explain, so that it paints a clear picture rather than getting lost in abstractions and theoretical possibilities.

Though I am neither a social scientist nor a data scientist, I found this well-organized, well-reasoned book of great interest. The chapter on the ethics of social research using digital information is particularly acute. A copious use of examples and clear summaries of various studies make the analysis clear and compelling. The formulas are kept to the back of each chapter and can be skipped by the lay reader or appreciated by those in the field. The bibliography is vast and full of recent work. The informal writing style aids accessibility.

Accessible but technically sophisticated treatment of issues in contemporary social research.

Everything about this book is STELLAR. The research by Salganik is SUPERB and I would highly recommend this masterpiece to anyone and everyone! Would give 6 stars if I could!!! Perfect stocking stuffer!!

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