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001 https://directory.doabooks.org/handle/20.500.12854/72765
005 20220219191407.0
020 _a9780367456535
020 _a9780367456528
020 _a9781003024583
041 0 _aEnglish
042 _adc
072 7 _aJM
_2bicssc
072 7 _aJMB
_2bicssc
100 1 _aEngel, Uwe
_4edt
700 1 _aQuan-Haase, Anabel
_4edt
700 1 _aXun Liu, Sunny
_4edt
700 1 _aLyberg, Lars
_4edt
700 1 _aEngel, Uwe
_4oth
700 1 _aQuan-Haase, Anabel
_4oth
700 1 _aXun Liu, Sunny
_4oth
700 1 _aLyberg, Lars
_4oth
245 1 0 _aHandbook of Computational Social Science, Vol 1 : Theory, Case Studies and Ethics
260 _bTaylor & Francis
_c2021
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _a"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."
540 _aAll rights reserved
_4http://oapen.org/content/about-rights
546 _aEnglish
650 7 _aPsychology
_2bicssc
650 7 _aPsychological methodology
_2bicssc
653 _aAI, 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
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/72765
_70
_zDOAB: description of the publication
999 _c37850
_d37850