Handbook of Computational Social Science - Vol 1 & Vol 2

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 "Survey Methodology" 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 effects of social media and AI, social media and well-being, and how the design of social robots impact 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.

• Volume 1Preface Introduction to the Handbook of Computational Social ScienceUwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars LybergSection I. The Scope and Boundaries of CSS The Scope of Computational Social ScienceClaudio Cioffi-Revilla Analytical Sociology amidst a Computational Social Science RevolutionBenjamin F. Jarvis, Marc Keuschnigg and Peter Hedström Computational Cognitive Modeling in the Social SciencesHolger Schultheis Computational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research FieldStephanie Geise and Annie Waldherr A Changing Survey LandscapeLars Lyberg and Steven G. Heeringa Digital Trace Data: Modes of Data Collection, Applications, and Errors at a GlanceFlorian Keusch and Frauke Kreuter Open Computational Social ScienceJan G. Voelkel and Jeremy Freese Causal and Predictive Modeling in Computational Social ScienceUwe Engel Data-driven Agent-based Modeling in Computational Social ScienceJan LorenzSection II. Privacy, Ethics, and Politics in CSS Research Ethics and Privacy in Computational Social Science: A Call for PedagogyWilliam Hollingshead, Anabel Quan-Haase and Wenhong Chen Deliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" ProjectsJames Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber Analysis of the Principled-AI Framework´s Constraints in Becoming a Methodological Reference for Trustworthy-AI DesignDaniel Varona and Juan Luis SuarezSection III. Case Studies and Research Examples Sensing Close-Range Proximity for Studying Face-to-Face InteractionJohann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois Social Media Data in Affective ScienceMax Pellert, Simon Schweighofer and David Garcia Understanding Political Sentiment: Using Twitter to Map the US 2016 Democratic PrimariesNiklas M Loynes and Mark J Elliot The Social Influence of Bots and Trolls in Social MediaYimin Chen Social Bots and Social Media Manipulation in 2020: The Year in ReviewHo-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, and Emilio Ferrara A Picture is (still) Worth a Thousand Words: The Impact of Appearance and Characteristic Narratives on People’s Perceptions of Social RobotsSunny Xun Liu, Elizabeth Arredondo, Hannah Miezkowski, Jeff Hancock and Byron Reeves Data Quality and Privacy Concerns in Digital Trace Data: Insights from a Delphi Study on Machine Learning and Robots in Human LifeUwe Engel and Lena Dahlhaus Effective Fight Against Extremist Discourse On-Line: The Case of ISIS’s PropagandaSéraphin Alava and Rasha Nagem Public Opinion Formation on the Far RightMichael Adelmund and Uwe EngelVolume 2Preface Introduction to the Handbook of Computational Social ScienceUwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars LybergSection I. Data in CSS: Collection, Management, and Cleaning A Brief History of APIs: Limitations and Opportunities for Online ResearchJakob Jünger Application Programming Interfaces and Web Data For Social Research Dominic Nyhuis Web Data Mining: Collecting Textual Data from Web Pages Using RStefan Bosse, Lena Dahlhaus and Uwe Engel Analyzing Data Streams for Social ScientistsLianne Ippel, Maurits Kaptein and Jeroen Vermunt Handling Missing Data in Large Data BasesMartin Spiess and Thomas Augustin Probabilistic Record Linkage in RTed Enamorado Reproducibility and Principled Data ProcessingJohn McLevey, Pierson Browne and Tyler CrickSection II. Data Quality in CSS Research Applying a Total Error Framework for Digital Traces to Social Media ResearchIndira Sen, Fabian Flöck, Katrin Weller, Bernd Weiß and Claudia Wagner Crowdsourcing in Observational and Experimental ResearchCamilla Zallot, Gabriele Paolacci, Jesse Chandler and Itay Sisso Inference from Probability and Non-Probability SamplesRebecca Andridge and Richard Valliant Challenges of Online Non-Probability SurveysJelke BethlehemSection III. Statistical Modelling and Simulation Large-scale Agent-based Simulation and Crowd Sensing with Mobile Agents Stefan Bosse Agent-based Modelling for Cultural Networks: Tagging by Artificial Intelligent Cultural AgentsFernando Sancho-Caparrini and Juan Luis Suárez Using Subgroup Discovery and Latent Growth Curve Modeling to Identify Unusual Developmental TrajectoriesAxel Mayer, Christoph Kiefer, Benedikt Langenberg and Florian Lemmerich Disaggregation via Gaussian Regression for Robust Analysis of Heterogeneous DataNazanin Alipourfard, Keith Burghardt and Kristina LermanSection IV: Machine Learning Methods Machine Learning Methods for Computational Social ScienceRichard D. De Veaux and Adam Eck Principal Component AnalysisAndreas Pöge and Jost Reinecke Unsupervised Methods: Clustering MethodsJohann Bacher, Andreas Pöge and Knut Wenzig Text Mining and Topic ModelingRaphael H. Heiberger and Sebastian Munoz-Najar Galvez From Frequency Counts to Contextualized Word Embeddings: The Saussurean Turn in Automatic Content AnalysisGregor Wiedemann and Cornelia Fedtke Automated Video Analysis for Social Science Research Dominic Nyhuis, Tobias Ringwald, Oliver Rittmann, Thomas Gschwend and Rainer Stiefelhagen