03241namaa2200481uu 4500001001000000003000600010005001700016006001900033007001500052008004100067020001800108020001800126020001800144040001700162041000800179042000700187072001500194072001600209720002000225245005500245260002700300300002200327336002600349337002600375338003600401506005100437520147100488540006301959546001202022650003802034650002302072653034502095720002002440720002202460720002202482720002802504720002802532720002402560720002402584793001802608856011602626999001702742doab72778oapen20260305123944.0m     o  d        cr|mn|---annan211112s2021    xx |||||o     ||| 0|eng d  a9780367456528  a9780367456535  a9781003024583  aoapencoapen0 aeng  adc 7aJM2bicssc 7aJMB2bicssc1 aEngel, Uwe4edt00aHandbook of Computational Social Science, Volume 2  bTaylor & Francisc2021  a1 online resource  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier0 aFree-to-readfUnrestricted online access2star  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."  aAll rights reserveduhttp://oapen.org/content/about-rights  aEnglish 7aPsychological methodology2bicssc 7aPsychology2bicssc  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 data1 aEngel, Uwe4oth1 aLyberg, Lars4edt1 aLyberg, Lars4oth1 aQuan-Haase, Anabel4edt1 aQuan-Haase, Anabel4oth1 aXun Liu, Sunny4edt1 aXun Liu, Sunny4oth0 aDOAB Library.40uhttps://directory.doabooks.org/handle/20.500.12854/7277870zFree-to-read: DOAB: description of the publication  c92548d92548