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, 1991–2019) 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 1991–2019. • 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 (2015–2019).