Bit by Bit (eBook)

Social Research in the Digital Age

Matthew J. Salganik (Autor)

eBook Download: EPUB

2024
448 Seiten
Princeton University Press (Verlag)
978-0-691-27086-9 (ISBN)

Infos

An innovative and accessible guide to doing social research in the digital ageIn 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.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 researchCombines ideas from social science and data science in an accessible style and without jargonGoes beyond the analysis of "e;found"e; data to discuss the collection of "e;designed"e; data such as surveys, experiments, and mass collaborationFeatures an entire chapter on ethicsIncludes extensive suggestions for further reading and activities for the classroom or self-study

Produkt-Details

• Erscheint lt. Verlag: 10.9.2024
• Zusatzinfo: 21 halftones. 58 line illus. 28 tables. 2 maps.
• Sprache: englisch
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Amazon Mechanical Turk • Audit study • Belmont Report • Big Data • Bioethics • Bitcoin • Business Ethics • Calculation • confounding • Cover Letter • Data Science • differential privacy • Early Adopter • Economics • estimation • external validity • Fat Head • Field Experiment • Foldit • Full disclosure (computer security) • Galaxy Zoo • Hawthorne effect • Ignorability • instrumental variable • internal validity • Interviewer effect • Judea Pearl • Kaggle • machine learning • margin of error • Mass Collaboration • Mass surveillance • Meta-analysis • Microsoft Research • Motherhood penalty • Multiple Choice • natural experiment • New Math • No Free Lunch (organization) • observational study • OKCupid • online panel • participant • Pasteur's quadrant • political consulting • Polymath Project • Post hoc analysis • Public Interest • questionnaire • Randomized Controlled Trial • Reinventing Discovery • Renaissance Technologies • research ethics • Respondent • result • Sampling (Statistics) • Scientific Misconduct • Second Source • Snapchat • Social desirability bias • Statistical conclusion validity • statistical significance • Study heterogeneity • Telephone interview • Twitter • usage data • variable cost • variance reduction • Voting • Website
• ISBN-10: 0-691-27086-4 / 0691270864
• ISBN-13: 978-0-691-27086-9 / 9780691270869