Handbook of computational social science. Volume 1 : theory, case studies and ethics / edited by Uwe Engel, Anabel Quan-Haase, Sunny Liu, Lars E Lyberg.

Format:

Book

Contributor:

Engel, Uwe, 1954-

Quan-Haase, Anabel.

Liu, Sunny Xun, 1977-

Lyberg, Lars.

Series:

Routledge handbooks

European Association of Methodology Series

Language:

English

Subjects (All):

Social sciences--Data processing.

Social sciences.

Social sciences--Methodology.

Social sciences--Mathematical models.

Genre:

Electronic books.

Handbooks and manuals.

Physical Description:

1 online resource (xxii, 388 pages).

Place of Publication:

[Place of publication not identified] : Routledge, [2021]

System Details:

text file

Biography/History:

Uwe Engel is Professor at the University of Bremen, Germany, where he held a chair in sociology from 2000 to 2020. From 2008 to 2013, Dr. Engel coordinated the Priority Programme on ⁰́₋Survey Methodology⁰́₊ of the German Research Foundation. His current research focuses on data science, human-robot interaction, and opinion dynamics. Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion. Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological e- ects of social media and AI, social media and well-being, and how the design of social robots impacts psychological perceptions. Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement.

Summary:

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Contents:

PrefaceIntroduction to the Handbook of Computational Social ScienceUwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars LybergSection I. The Scope and Boundaries of CSSThe Scope of Computational Social ScienceClaudio Cioffi-RevillaAnalytical Sociology amidst a Computational Social Science RevolutionBenjamin F. Jarvis, Marc Keuschnigg and Peter Hedstr©œmComputational Cognitive Modeling in the Social SciencesHolger SchultheisComputational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research FieldStephanie Geise and Annie WaldherrA Changing Survey LandscapeLars Lyberg and Steven G. HeeringaDigital Trace Data: Modes of Data Collection, Applications, and Errors at a GlanceFlorian Keusch and Frauke KreuterOpen Computational Social ScienceJan G. Voelkel and Jeremy FreeseCausal and Predictive Modeling in Computational Social ScienceUwe EngelData-driven Agent-based Modeling in Computational Social ScienceJan LorenzSection II. Privacy, Ethics, and Politics in CSS ResearchEthics and Privacy in Computational Social Science: A Call for PedagogyWilliam Hollingshead, Anabel Quan-Haase and Wenhong ChenDeliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" ProjectsJames Popham, Jennifer Lavoie, Andrea Corradi and Nicole CoomberAnalysis of the Principled-AI Framework℗þs Constraints in Becoming a Methodological Reference for Trustworthy-AI DesignDaniel Varona and Juan Luis SuarezSection III. Case Studies and Research ExamplesSensing Close-Range Proximity for Studying Face-to-Face InteractionJohann Schaible, Marcos Oliveira, Maria Zens and Mathieu G©♭noisSocial Media Data in Affective ScienceMax Pellert, Simon Schweighofer and David GarciaUnderstanding Political Sentiment: Using Twitter to Map the US 2016 Democratic PrimariesNiklas M Loynes and Mark J ElliotThe Social Influence of Bots and Trolls in Social MediaYimin ChenSocial Bots and Social Media Manipulation in 2020: The Year in ReviewHo-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, and Emilio FerraraA Picture is (still) Worth a Thousand Words: The Impact of Appearance and Characteristic Narratives on People⁰́₉s Perceptions of Social RobotsSunny Liu, Elizabeth Arredondo, Hannah Miezkowski, Jeff Hancock and Byron ReevesData Quality and Privacy Concerns in Digital Trace Data: Insights from a Delphi Study on Machine Learning and Robots in Human LifeUwe Engel and Lena DahlhausEffective Fight Against Extremist Discourse On-Line: The Case of ISIS⁰́₉s PropagandaS©♭raphin Alava and Rasha NagemPublic Opinion Formation on the Far RightMichael Adelmund and Uwe Engel

ISBN:

9781003024583

1003024580

9781000448610

1000448614

9781000448580

1000448584

OCLC:

1282299052

Publisher Number:

9781003024583

Access Restriction:

Restricted for use by site license.