000			03231naaaa2200325uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/72762
005			20220714182906.0
020			_a9781003025245-3
020			_a9780367456535
020			_a9780367456528
024	7		_a10.4324/9781003025245-3 _cdoi
041	0		_aEnglish
042			_adc
072		7	_aJM _2bicssc
072		7	_aJMB _2bicssc
100	1		_aJünger, Jakob _4auth _91601872
245	1	0	_aChapter 2 A brief history of Apis : Limitations and opportunities for online research
260			_bTaylor & Francis _c2021
300			_a1 electronic resource (17 p.)
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			_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/
546			_aEnglish
650		7	_aPsychology _2bicssc _935565
650		7	_aPsychological methodology _2bicssc _91019753
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
773	1	0	_0OAPEN Library ID: https://library.oapen.org/handle/20.500.12657/51440 _tHandbook of Computational Social Science, Volume 2 _7nnaa
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/51440/1/9781003025245_10.4324_9781003025245-2.pdf _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/72762 _70 _zDOAB: description of the publication
999			_c3003671 _d3003671