Assessing the prominence of interest groups in parliament: a supervised machine learning approach

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dc.contributor.authorFraussen, Bert
dc.contributor.authorGraham, Timothy
dc.contributor.authorHalpin, Darren
dc.date.accessioned2019-06-18T04:10:52Z
dc.date.available2019-06-18T04:10:52Z
dc.date.issued2018
dc.date.updated2019-03-24T07:18:29Z
dc.description.abstractAscertaining which interest groups are considered relevant by policymakers presents an important challenge for political scientists. Existing approaches often focus on the submission of written evidence or the inclusion in expert committees. While these approaches capture the effort of groups, they do not directly indicate whether policy makers consider these groups as highly relevant political actors. In this paper we introduce a novel theoretical approach to address this important question, namely prominence. We argue that, in the legislative arena, prominence can be operationalised as groups being mentioned strategically – used as a resource – by elected officials as they debate policy matters. Furthermore, we apply a machine learning solution to reliably assess which groups are prominent among legislators. We illustrate this novel method relying on a dataset of mentions of over 1300 national interest groups in parliamentary debates in Australia over a six-year period (2010–2016).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1357-2334en_AU
dc.identifier.urihttp://hdl.handle.net/1885/164089
dc.language.isoen_AUen_AU
dc.provenancePublished by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_AU
dc.publisherTaylor & Francisen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP140104097en_AU
dc.rights© 2018 The Author(s).en_AU
dc.rights.licenseCreative Commons Attribution-NonCommercial-NoDerivatives Licenseen_AU
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_AU
dc.sourceThe Journal of Legislative Studiesen_AU
dc.titleAssessing the prominence of interest groups in parliament: a supervised machine learning approachen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage474en_AU
local.bibliographicCitation.startpage450en_AU
local.contributor.affiliationFraussen, Bert, Leiden Universityen_AU
local.contributor.affiliationGraham, Timothy, College of Arts and Social Sciences, ANUen_AU
local.contributor.affiliationHalpin, Darren, College of Arts and Social Sciences, ANUen_AU
local.contributor.authoremailrepository.admin@anu.edu.auen_AU
local.contributor.authoruidGraham, Timothy, u1013869en_AU
local.contributor.authoruidHalpin, Darren, u5149695en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor160899 - Sociology not elsewhere classifieden_AU
local.identifier.absfor160699 - Political Science not elsewhere classifieden_AU
local.identifier.absseo940299 - Government and Politics not elsewhere classifieden_AU
local.identifier.ariespublicationu3102795xPUB111en_AU
local.identifier.citationvolume24en_AU
local.identifier.doi10.1080/13572334.2018.1540117en_AU
local.identifier.scopusID2-s2.0-85057260820
local.identifier.uidSubmittedByu3102795en_AU
local.publisher.urlhttps://www.routledge.com/en_AU
local.type.statusPublished Versionen_AU

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