Handbook of Computational Social Science Volume 1

<p>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.</p><p>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.</p><p>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.</p>