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Media diversity and the analysis of qualitative variation

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journal contribution
posted on 10.06.2021, 10:16 by David DeaconDavid Deacon, James StanyerJames Stanyer
Diversity is recognised as a significant criterion for appraising the democratic performance of media systems. This article begins by considering key conceptual debates that help differentiate types and levels of diversity. It then addresses a core methodological challenge in measuring diversity: how do we model statistical variation and difference when many measures of source and content diversity only attain the nominal level of measurement? We identify a range of obscure statistical indices developed in other fields that measure the strength of ‘qualitative variation’. Using original data, we compare the performance of five diversity indices and, on this basis, propose the creation of a more effective diversity average measure. The article concludes by outlining innovative strategies for drawing statistical inferences from these measures, using bootstrapping and permutation testing resampling. All statistical procedures are supported by a unique online resource developed for this article.

History

School

  • Social Sciences and Humanities

Department

  • Communication and Media

Published in

Communication and the Public

Volume

6

Issue

1-4

Pages

19-32

Publisher

Sage

Version

VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Sage under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Publication date

2021-05-10

Copyright date

2021

eISSN

2057-0473

Language

en

Depositor

Deposit date: 8 June 2021