Using mixed-methods, a data model and a computational ontology in film audience research

Wessels, B., Hanchard, M., Higson, A. et al. (7 more authors) (2019) Using mixed-methods, a data model and a computational ontology in film audience research. Cultural Trends, 28 (2-3). pp. 118-131. ISSN 0954-8963

Abstract

Metadata

Authors/Creators:
  • Wessels, B.
  • Hanchard, M.
  • Higson, A.
  • Forrest, D.
  • Merrington, P.
  • Pidd, M.
  • Rogers, K.
  • Smits, R.
  • Townsend, N.
  • Yates, S.
Copyright, Publisher and Additional Information: © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: film; audiences; mixed-methods; data model; computational ontologies
Dates:
  • Accepted: 9 May 2019
  • Published (online): 20 June 2019
  • Published: June 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > School of English (Sheffield)
Funding Information:
FunderGrant number
Arts and Humanities Research Council (AHRC)AH/P005780/1
Depositing User: Symplectic Sheffield
Date Deposited: 09 May 2019 13:35
Last Modified: 25 Jul 2019 11:08
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: https://doi.org/10.1080/09548963.2019.1617934

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