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.

chapter 1|14 pages

Introduction to the Handbook of Computational Social Science

ByUwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg

section Section I|153 pages

The scope and boundaries of CSS

chapter 2|16 pages

The scope of computational social science

ByClaudio Cioffi-Revilla

chapter 3|20 pages

Analytical sociology amidst a computational social science revolution

ByBenjamin F. Jarvis, Marc Keuschnigg, Peter Hedström
Size: 1.11 MB

chapter 4|13 pages

Computational cognitive modeling in the social sciences

ByHolger Schultheis

chapter 5|17 pages

Computational communication science

Lessons from working group sessions with experts of an emerging research field
ByStephanie Geise, Annie Waldherr

chapter 6|17 pages

A changing survey landscape

ByLars Lyberg, Steven G. Heeringa

chapter 7|19 pages

Digital trace data

Modes of data collection, applications, and errors at a glance
ByFlorian Keusch, Frauke Kreuter
Size: 1.74 MB

chapter 8|12 pages

Open computational social science

ByJan G. Voelkel, Jeremy Freese
Size: 1.49 MB

section Section II|48 pages

Privacy, ethics, and politics in CSS research

chapter 11|15 pages

Ethics and privacy in computational social science

A call for pedagogy
ByWilliam Hollingshead, Anabel Quan-Haase, Wenhong Chen

chapter 12|14 pages

Deliberating with the public

An agenda to include stakeholder input on municipal “big data” projects
ByJames F. Popham, Jennifer Lavoie, Andrea Corradi, Nicole Coomber

section Section III|163 pages

Case studies and research examples

chapter 14|21 pages

Sensing close-range proximity for studying face-to-face interaction

ByJohann Schaible, Marcos Oliveira, Maria Zens, Mathieu Génois

chapter 15|16 pages

Social media data in affective science

ByMax Pellert, Simon Schweighofer, David Garcia

chapter 16|31 pages

Understanding political sentiment

Using Twitter to map the U.S. 2016 Democratic primaries
ByNiklas M Loynes, Mark Elliot

chapter 17|17 pages

The social influence of bots and trolls in social media

ByYimin Chen

chapter 18|20 pages

Social bots and social media manipulation in 2020

The year in review
ByHo-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, Emilio Ferrara

chapter 19|19 pages

A picture is (still) worth a thousand words

The impact of appearance and characteristic narratives on people's perceptions of social robots
BySunny Xun Liu, Elizabeth Arredondo, Hannah Mieczkowski, Jeff Hancock, Byron Reeves

chapter 20|20 pages

Data quality and privacy concerns in digital trace data

Insights from a Delphi study on machine learning and robots in human life
ByUwe Engel, Lena Dahlhaus
Size: 1.16 MB

chapter 21|10 pages

Effective fight against extremist discourse online

The case of ISIS's propaganda
BySéraphin Alava, Rasha Nagem

chapter 22|7 pages

Public opinion formation on the far right

ByMichael Adelmund, Uwe Engel