Theory, case studies and ethics
Author(s)
Bibliographic Information
Theory, case studies and ethics
（European Association of Methodology series, . Handbook of computational social science ; v. 1）
Routledge, 2021
- : hbk
Related Bibliography 1 items
Available at 2 libraries
Note
Other editors: Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg
Includes bibliographical references and index
Description and Table of Contents
Description
1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation).
2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences.
3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks.
Table of Contents
Preface
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
The Scope of Computational Social Science
Claudio Cioffi-Revilla
Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedstroem
Computational Cognitive Modeling in the Social Sciences
Holger Schultheis
Computational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr
A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa
Digital Trace Data: Modes of Data Collection, Applications, and Errors at a Glance
Florian Keusch and Frauke Kreuter
Open Computational Social Science
Jan G. Voelkel and Jeremy Freese
Causal and Predictive Modeling in Computational Social Science
Uwe Engel
Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz
Section II. Privacy, Ethics, and Politics in CSS Research
Ethics and Privacy in Computational Social Science: A Call for Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen
Deliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber
Analysis of the Principled-AI Frameworks Constraints in Becoming a Methodological Reference for Trustworthy-AI Design
Daniel Varona and Juan Luis Suarez
Section III. Case Studies and Research Examples
Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Genois
Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
Understanding Political Sentiment: Using Twitter to Map the US 2016 Democratic Primaries
Niklas M Loynes and Mark J Elliot
The Social Influence of Bots and Trolls in Social Media
Yimin Chen
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
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
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
Effective Fight Against Extremist Discourse On-Line: The Case of ISIS's Propaganda
Seraphin Alava and Rasha Nagem
Public Opinion Formation on the Far Right
Michael Adelmund and Uwe Engel
by "Nielsen BookData"