Big data in computational social science and humanities: edited by Chen, S., Cham, Springer, 2018, 388 pp., €117.69 (ebook), ISBN 978-3-319-95465-3.
The article discusses the edited volume "Big Data in Computational Social Science and Humanities," which explores the impact of big data on various disciplines within social sciences and humanities. It highlights the challenges researchers face in utilizing data analytics techniques and emphasizes t...
| Published in: | Innovation: The European Journal of Social Sciences Vol. 38; no. 3; pp. 1416 - 1420 |
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| Main Authors: | , |
| Format: | Book Review |
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Taylor & Francis Ltd
Sep2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187408400&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187408400 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 13511610 IVT jtl: Innovation: The European Journal of Social Sciences issn: 13511610 maglogo: N pubinfo: dt: Sep2025 vid: 38 iid: 3 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 187408400 10.1080/13511610.2022.2135493 ppf: 1416 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P size: 264KB tig: atl: Big data in computational social science and humanities: edited by Chen, S., Cham, Springer, 2018, 388 pp., €117.69 (ebook), ISBN 978-3-319-95465-3. aug: au: Zhao, Zhenhua Feng, Guohua affil: Bohai University, China Liaoning Petrochemical College, China su: Humanities education Socioeconomics Psychology Big data Data analytics Research methodology Digital humanities Digital technology sug: subj: Humanities education Socioeconomics Psychology Big data Data analytics Research methodology Digital humanities Digital technology ab: The article discusses the edited volume "Big Data in Computational Social Science and Humanities," which explores the impact of big data on various disciplines within social sciences and humanities. It highlights the challenges researchers face in utilizing data analytics techniques and emphasizes the book's role in bridging gaps between these fields. The volume is structured into two parts, featuring nineteen scholarly works that cover applications of big data in areas such as economics, psychology, and literature, while also addressing methodological innovations and practical applications. Overall, the book serves as a valuable resource for a diverse audience, including social scientists, humanists, and students, aiming to enhance their understanding and use of big data in research. pubtype: Review doctype: Book Review src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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