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 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.

Preface

1. Introduction to the Handbook of Computational Social Science

Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars Lyberg

Section I. The Scope and Boundaries of CSS

2. The Scope of Computational Social Science

Claudio Cioffi-Revilla

3. Analytical Sociology amidst a Computational Social Science Revolution

Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedström

4. Computational Cognitive Modeling in the Social Sciences

Holger Schultheis

5. Computational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research Field

Stephanie Geise and Annie Waldherr

6. A Changing Survey Landscape

Lars Lyberg and Steven G. Heeringa

7. Digital Trace Data: Modes of Data Collection, Applications, and Errors at a Glance

Florian Keusch and Frauke Kreuter

8. Open Computational Social Science

Jan G. Voelkel and Jeremy Freese

9. Causal and Predictive Modeling in Computational Social Science

Uwe Engel

10. Data-driven Agent-based Modeling in Computational Social Science

Jan Lorenz

Section II. Privacy, Ethics, and Politics in CSS Research

11. Ethics and Privacy in Computational Social Science: A Call for Pedagogy

William Hollingshead, Anabel Quan-Haase and Wenhong Chen

12. Deliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" Projects

James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber

13. Analysis of the Principled-AI Framework¿s Constraints in Becoming a Methodological Reference for Trustworthy-AI Design

Daniel Varona and Juan Luis Suarez

Section III. Case Studies and Research Examples

14. Sensing Close-Range Proximity for Studying Face-to-Face Interaction

Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois

15. Social Media Data in Affective Science

Max Pellert, Simon Schweighofer and David Garcia

16. Understanding Political Sentiment: Using Twitter to Map the US 2016 Democratic Primaries

Niklas M Loynes and Mark J Elliot

17. The Social Influence of Bots and Trolls in Social Media

Yimin Chen

18. Social Bots and Social Media Manipulation in 2020: The Year in Review

Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, and Emilio Ferrara

19. A Picture is (still) Worth a Thousand Words: The Impact of Appearance and Characteristic Narratives on People's Perceptions of Social Robots

Sunny Xun Liu, Elizabeth Arredondo, Hannah Miezkowski, Jeff Hancock and Byron Reeves

20. Data Quality and Privacy Concerns in Digital Trace Data: Insights from a Delphi Study on Machine Learning and Robots in Human Life

Uwe Engel and Lena Dahlhaus

21. Effective Fight Against Extremist Discourse On-Line: The Case of ISIS's Propaganda

Séraphin Alava and Rasha Nagem

22. Public Opinion Formation on the Far Right

Michael Adelmund and Uwe Engel