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Bit by Bit

Social Research in the Digital Age

Dados Bibliográficos

ID6579579
AutoresMatthew J Salganik
Ano2017
Páginas448
Data de publicação2017-12-05
Open AccessNão
TipoBOOK
PeriódicoBit by Bit (SOURCE_BOOK)
EditoraPrinceton University Press (PUBLISHER • US)
Open LibraryOL27420322M
ISBN9780691158648
IdiomaEN
Citações recebidas92

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

Ethics · Information Technology · Methodology · Research · Social media · Social sciences · Sociology · Statistical methods

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  • Using Google and Twitter to Measure, Validate and Understand Views about Religion across Africa

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  • Emergence of diverse and specialized knowledge in a metropolitan tech cluster

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  • Locally Ensconced and Globally Integrated

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  • The impact of Covid-19 on public space

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  • Rethinking Social Networks in the Era of Computational Social Science

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  • Modeling the Formation of Attentive Publics in Social Media

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  • A Pragmatist’s Guide to Using Prediction in the Social Sciences

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    Open Access•Hernan Mondani, Richard Swedberg•Theory and Society•2022

  • Follow the user

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  • Uncovering the Socioeconomic Structure of Spatial and Social Interactions in Cities

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  • Innovación tecnológica para la mentoría social dirigida a personas inmigrantes y refugiadas

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  • How can process-based researchers bridge the gap between individuals and groups? Discover the dynamic p-technique

    Open Access•A Solomon Kurz, Yelena L Johnson et al.•Journal of Contextual Behavioral…•2019

  • Negotiating censorial power and its legitimacy

    Zhifan Luo•Journal of Political Power•2024

  • Engaging multiple identity frames in political discussion

    K T Mccabe•Politics Groups and Identities•2022

  • Tracing Policy-relevant Information in Social Media

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  • Linkage Analysis Revised – Linking Digital Traces and Survey Data

    Open Access•Lukas Otto, Felicia Löecherbach et al.•Communication Methods and Measures•2023

  • Algorithmically Based Decision Support Tools

    Philip Gillingham•Practice•2020

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  • Tool for Surveillance or Spotlight on Inequality? Big Data and the Law

    Open Access•R A Johnson, Tanina Rostain•Annual Review of Law and Social…•2020

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    Open Access•L Lui, Ken Chih-Yan Sun et al.•Population Space and Place•2021

  • Optimal movement behaviors

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  • A big-data analysis of human-nature relations in newspaper coverage

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  • Evaluating Rank-Coherence of Crowd Rating in Customer Satisfaction

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  • Covid-19-related stigma profiles and risk factors among people who are at high risk of contagion

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  • Different samples, different results? How sampling techniques affect the results of field experiments on ethnic discrimination

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Obras citantes distintas92
Citações por ano13,14
Intervalo de citações2019 - 2026 (8)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 84
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