Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences
Digital data on human behaviour and social interactions are a seemingly abundant and valuable resource of the twenty-first century, promising deep insights into the social processes generating them. Such data - commonly referred to as digital trace data, process-generated data, or digital behavioura...
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| 格式: | Online |
| 語言: | 英语 |
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Edward Elgar Publishing
2023
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| 在線閱讀: | https://directory.doabooks.org/handle/20.500.12854/112629 |
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| _version_ | 1869518061014351872 |
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| author | Posegga, Oliver |
| author_browse | Posegga, Oliver |
| author_facet | Posegga, Oliver |
| author_sort | Posegga, Oliver |
| collection | Directory of Open Access Books |
| description | Digital data on human behaviour and social interactions are a seemingly abundant and valuable resource of the twenty-first century, promising deep insights into the social processes generating them. Such data - commonly referred to as digital trace data, process-generated data, or digital behavioural data - are increasingly available to us, but the goal of unlocking their potential remains elusive despite the emergence of specialized fields such as computational social science, which has produced an ample body of research based on this resource. Achieving that goal requires revisiting the foundations of research based on this data type, a thorough understanding of its unique characteristics, overcoming access barriers, understanding data generating processes, and rethinking the role of theory at the intersection between computer science and social science. This chapter discusses the origin and characteristics of such data, as well as the interdisciplinary challenges researchers face in accessing, understanding, and using it for research. |
| format | Online |
| id | doab-20.500.12854ir-112629 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1126292023-08-14T09:22:01Z Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences Posegga, Oliver Digital trace data; Computational social science; Big data; Process generated data; Social media JFFP Digital data on human behaviour and social interactions are a seemingly abundant and valuable resource of the twenty-first century, promising deep insights into the social processes generating them. Such data - commonly referred to as digital trace data, process-generated data, or digital behavioural data - are increasingly available to us, but the goal of unlocking their potential remains elusive despite the emergence of specialized fields such as computational social science, which has produced an ample body of research based on this resource. Achieving that goal requires revisiting the foundations of research based on this data type, a thorough understanding of its unique characteristics, overcoming access barriers, understanding data generating processes, and rethinking the role of theory at the intersection between computer science and social science. This chapter discusses the origin and characteristics of such data, as well as the interdisciplinary challenges researchers face in accessing, understanding, and using it for research. Published 2023-08-14T09:21:58Z 2023-08-14T09:21:58Z 2023-03-31 chapter 9781789906769 https://directory.doabooks.org/handle/20.500.12854/112629 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/research-handbook-on-digital-sociology-9781789906752.html https://www.elgaronline.com/edcollchap-oa/book/9781789906769/book-part-9781789906769-13.xml Edward Elgar Publishing Edward Elgar Publishing https://doi.org/10.4337/9781789906769.00013 https://doi.org/10.4337/9781789906769.00013 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781789906769 Edward Elgar Publishing Cheltenham, UK open access |
| spellingShingle | Digital trace data; Computational social science; Big data; Process generated data; Social media JFFP Posegga, Oliver Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title | Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title_full | Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title_fullStr | Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title_full_unstemmed | Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title_short | Chapter 6: Unlocking big data: at the crossroads of computer science and the social sciences |
| title_sort | chapter 6 unlocking big data at the crossroads of computer science and the social sciences |
| topic | Digital trace data; Computational social science; Big data; Process generated data; Social media JFFP |
| topic_facet | Digital trace data; Computational social science; Big data; Process generated data; Social media JFFP |
| url | https://directory.doabooks.org/handle/20.500.12854/112629 |
| work_keys_str_mv | AT poseggaoliver chapter6unlockingbigdataatthecrossroadsofcomputerscienceandthesocialsciences |