Chapter 7 Digital Trace Data : Modes of data collection, applications, and errors at a glance
"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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| Autor*in: |
Keusch, Florian [verfasserIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Erscheinungsort nicht ermittelbar: Taylor & Francis ; 2021 |
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| Rechteinformationen: |
Open Access Creative Commons ; https://creativecommons.org/licenses/by-nc-nd/4.0 |
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| Schlagwörter: |
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| Umfang: |
1 Online-Ressource (20 p.) |
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978-1-003-02458-3 978-0-367-45653-5 978-0-367-45652-8 |
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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." 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| spelling |
9781003024583 8 978-1-003-02458-3 9780367456535 978-0-367-45653-5 9780367456528 978-0-367-45652-8 (DE-627)1836506546 (DE-599)KEP077634438 (OCoLC)1302642083 (OAPEN)51412 (EBP)077634438 DE-627 eng DE-627 rda eng JM bicssc JMB bicssc Keusch, Florian verfasserin aut Chapter 7 Digital Trace Data Modes of data collection, applications, and errors at a glance [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (20 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star "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." Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Psychology Psychological methodology Kreuter, Frauke oth https://library.oapen.org/bitstream/id/92c01a51-bac6-4a7b-a7d8-a3385217d482/9781003024583_10.4324_9781003024583-8.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51412 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280162468 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 428071472X OLR-OAPEN f z 01-03-23 30 01 0104 4281075747 GBV-OAPEN z 01-03-23 31 01 0027 4280357234 z 01-03-23 34 01 3551 4278912749 OLR-OAPEN zi002 01-03-23 39 01 0547 4281267123 GBV-OAPEN ke 01-03-23 40 01 0007 427998123X OLR-OAPEN xsn 01-03-23 63 01 3401 4281650458 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281899685 OLR-OAPEN z 01-03-23 70 01 0089 4280535671 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278735405 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343263053 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 4281452699 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279626715 OLR-OAPEN z 01-03-23 147 01 3528 4282098376 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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| allfields_unstemmed |
9781003024583 8 978-1-003-02458-3 9780367456535 978-0-367-45653-5 9780367456528 978-0-367-45652-8 (DE-627)1836506546 (DE-599)KEP077634438 (OCoLC)1302642083 (OAPEN)51412 (EBP)077634438 DE-627 eng DE-627 rda eng JM bicssc JMB bicssc Keusch, Florian verfasserin aut Chapter 7 Digital Trace Data Modes of data collection, applications, and errors at a glance [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (20 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star "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." Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Psychology Psychological methodology Kreuter, Frauke oth https://library.oapen.org/bitstream/id/92c01a51-bac6-4a7b-a7d8-a3385217d482/9781003024583_10.4324_9781003024583-8.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51412 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280162468 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 428071472X OLR-OAPEN f z 01-03-23 30 01 0104 4281075747 GBV-OAPEN z 01-03-23 31 01 0027 4280357234 z 01-03-23 34 01 3551 4278912749 OLR-OAPEN zi002 01-03-23 39 01 0547 4281267123 GBV-OAPEN ke 01-03-23 40 01 0007 427998123X OLR-OAPEN xsn 01-03-23 63 01 3401 4281650458 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281899685 OLR-OAPEN z 01-03-23 70 01 0089 4280535671 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278735405 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343263053 OLR-OAL Vervielfältigungen (z.B. 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7.167432 |