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HANDBOOK OF COMPUTATIONAL SOCIAL SCIENCE, VOLUME 1. THEORY, CASE STUDIES AND ETHICS
Título:
HANDBOOK OF COMPUTATIONAL SOCIAL SCIENCE, VOLUME 1. THEORY, CASE STUDIES AND ETHICS
Subtítulo:
Autor:
ENGEL, U
Editorial:
CRC
Año de edición:
2021
ISBN:
978-0-367-45652-8
Páginas:
2022
92,04 €

 

Sinopsis

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.

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 Hedström

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 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

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

Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois

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

Séraphin Alava and Rasha Nagem

Public Opinion Formation on the Far Right

Michael Adelmund and Uwe Engel