| 000 | 02977naaaa2200361uu 4500 | ||
|---|---|---|---|
| 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 |
||