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001 oapen51410
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008 240424s2021a||||fo|||||||||0|eng d
014 _a1282299052
_bOCoLC
020 _a9780367456528
020 _a9780367456535
020 _a9781003024583
035 _a(OCoLC)1282299052
040 _aoapen
_coapen
041 0 _aeng
042 _adc
072 7 _aJ
_2thema
072 7 _aJM
_2thema
072 7 _aJMB
_2thema
100 1 _aEngel, Uwe
_4aut
245 1 0 _aHandbook of Computational Social Science, Vol 1
_bTheory, Case Studies and Ethics
260 _bTaylor & Francis
_bRoutledge [Imprint]
_c2021
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
506 0 _aFree-to-read
_fUnrestricted online access
_2star
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 _aOpen licence
_0https://oapen.org/article/rights
546 _aeng
650 7 _aPsychological methodology
_2thema
650 7 _aPsychology
_2thema
650 7 _aSociety and Social Sciences
_2thema
653 _aAI
653 _abig data
653 _adata analysis
653 _adata archives
653 _adata ownership
653 _adata science
653 _adigital trace
653 _aethical standards
653 _aethics
653 _ahuman-robot interaction
653 _ainformation technology
653 _amachine learning
653 _aopen data
653 _apolicy
653 _apolitics
653 _aquantitative
653 _areplication
653 _asocial
653 _asocial media
653 _asocio-robots
653 _asurvey data
653 _asurvey design
653 _asurvey methodology
653 _aunstructured data
700 1 _aEngel, Uwe
_4edt
700 1 _aLyberg, Lars
_4edt
700 1 _aQuan-Haase, Anabel
_4edt
700 1 _aXun Liu, Sunny
_4edt
793 0 _aOAPEN Library.
856 4 0 _uhttps://library.oapen.org/handle/20.500.12657/51410
_zFree-to-read: OAPEN Library/DOAB: description of the publication
_70
999 _c37794
_d37794