Handbook of Computational Social Science, Volume 2

Handbook of Computational Social Science, Volume 2

"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 opportuni...

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Bibliographic Details
Other Authors: Engel, Uwe (Editor), Quan-Haase, Anabel (Editor), Xun Liu, Sunny (Editor), Lyberg, Lars (Editor)
Format: Book Chapter
Published: Taylor & Francis 2021
Subjects:
Psychology
Psychological methodology
AI, 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
Online Access:DOAB: description of the publication
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DOAB: description of the publication

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