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Jiasheng Zhang
Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics
Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics
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- More about Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics
This inductive examination of the topics in the public administration literature using computational social science and corpus linguistics (17 journals, N=12,760 articles, 19912019) reveals a new landscape of public administration topics, changes in topics over time and their distribution: Topic modelling of the stock of the whole corpus identifies 50 topics: the top ten topics included health care, federal government, performance management, environmental regulation, HRM and networks and accounted for just over a third of scholarship between 19912019. Focal topics identified in individual journals identified similarities with popular topics in the whole corpus networks, health care, HRM and less frequently examined topics including gender and diversity and partnerships. Analysis of topics over time shows a substantial flow in topics moving from a country and practice focus in the early stages of our study period to concepts such as governance, networks and citizens in the late stages (20152019).
- Publication date: 9 January 2025
- Page count: 108
- Dimensions: Height 229 mm; Width 152 mm; Thickness 8 mm
- Publisher: Cambridge University Press
- Format: Hardback
- ISBN-13: 9781009571982
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