03271namaa2200481uu 4500 doab72765 oapen 20260305123943.0 m o d cr|mn|---annan 211112s2021 xx |||||o ||| 0|eng d 9780367456528 9780367456535 9781003024583 oapen oapen eng dc JM bicssc JMB bicssc Engel, Uwe edt Handbook of Computational Social Science, Vol 1 Theory, Case Studies and Ethics Taylor & Francis 2021 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Free-to-read Unrestricted online access star "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 into 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 scientific and engineering sectors." All rights reserved http://oapen.org/content/about-rights English Psychological methodology bicssc Psychology bicssc AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data Engel, Uwe oth Lyberg, Lars edt Lyberg, Lars oth Quan-Haase, Anabel edt Quan-Haase, Anabel oth Xun Liu, Sunny edt Xun Liu, Sunny oth DOAB Library. https://directory.doabooks.org/handle/20.500.12854/72765 0 Free-to-read: DOAB: description of the publication 92529 92529