| Status | 已發表Published |
| What sociologists should know about big data? | |
| Cai, T.; Zhou, Y. | |
| 2016-12-01 | |
| Source Publication | ISA eSymposium for Sociology
 |
| ISSN | 0000 |
| Pages | 1-9 |
| Abstract | The emergence of big data provides both opportunities and challenges to social scientists, and promotes a paradigmatic shift in sociological thinking. This paper aims to elaborate how the arrival of big data will change the way sociologists approach their research interests, as well as discuss how social scientists — sociologists in particular—, can prepare for the implementation of big data. We argue that social scientists need to learn techniques traditionally used in the computer sciences in order to inform their future research practices. The current data training in the social sciences is insufficient and limits our ability to recognize and leverage the rich field of big data, , thus prohibiting social scientists from playing a more active role in data-based research and the era of big data. At the same time, social scientists need to review methodology frameworks that builds upon sampling techniques and hypothesis testing, in order to develop a hybrid technique that is applicable to their field. For example, an atheoretical, inductive searching followed by a hypothesis-testing deductive procedure. |
| Keyword | big data sociology methodology |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 29045 |
| Document Type | Journal article |
| Collection | Faculty of Education |
| Recommended Citation GB/T 7714 | Cai, T.,Zhou, Y.. What sociologists should know about big data?[J]. ISA eSymposium for Sociology, 2016, 1-9. |
| APA | Cai, T.., & Zhou, Y. (2016). What sociologists should know about big data?. ISA eSymposium for Sociology, 1-9. |
| MLA | Cai, T.,et al."What sociologists should know about big data?".ISA eSymposium for Sociology (2016):1-9. |
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