Handbook of Computational Social Science, Volume 1

Theory, Case Studies and Ethics

Uwe Engel editor Anabel Quan-Haase editor Sunny Liu editor Lars E Lyberg editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:17th Nov '21

Currently unavailable, and unfortunately no date known when it will be back

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Handbook of Computational Social Science, Volume 1 cover

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.

ISBN: 9780367456535

Dimensions: unknown

Weight: 834g

394 pages