2021
DOI: 10.1111/ropr.12448
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Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri butio n-NonCo mmerc ial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Cited by 17 publications
(14 citation statements)
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“…Some scholars gradually focus on the development and application of big data technology in the eld of driving in recently years [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. e US Department of Education was the rst to release the education data mining and discussed the future development and application of big data in the eld of education [3].…”
Section: Introductionmentioning
confidence: 99%
“…Some scholars gradually focus on the development and application of big data technology in the eld of driving in recently years [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. e US Department of Education was the rst to release the education data mining and discussed the future development and application of big data in the eld of education [3].…”
Section: Introductionmentioning
confidence: 99%
“…Topic detection is a text mining technique that allows detecting these patterns in large document corpora and classifying them as recurring topics and themes. The “latent” topics within the corpus’ documents are unveiled through algorithms that use statistical modeling and programming language to analyze the correlation among terms, i.e., words or phrases (El-Taliawi et al 2021 ). This study employs Reinert’s method (Reinert 1990 , 2001 ), which uses the R-based software Iramuteq to analyze “the co-occurrences of words as they appear in portions of text, and thereby identify lexical worlds, or semantic classes” (Sbalchiero 2018 , p. 202).…”
Section: Research Questions and Methodsmentioning
confidence: 99%
“…Second, the study used bibliometric analysis to evaluate scholarly publications related to public policy (Adams, Lind Infeld, Wikrent, & Bintou Cisse, 2016;Morkunas, Moore, & Duncan, 2019;Nafi'ah, Roziqin, Suhermanto, & Fajrina, 2021;Zahra et al, 2021). Third, the research used bibliometrics to examine big data analytics in public policy (El-Taliawi, Goyal, & Howlett, 2021;Suominen & Hajikhani, 2021). Moreover, the study used bibliometric analysis to investigate a specific topics in public policy, such as green deal policy, energy conservation, and energy efficiency (Ziabina & Pimonenko, 2020), medical tourism (Virani, Wellstead, & Howlett, 2020), and forest fire controlling policy (Rahmah, 2022).…”
mentioning
confidence: 99%
“…In recent years, the area of public policy has become more diverse and expansive. Public policy study spans several fields and various policy domains (El-Taliawi et al, 2021). Since the general approach is a multidisciplinary field with many methodologies, variables, and actors involved in this process (Ruthes, 2017).…”
mentioning
confidence: 99%