Ideological Framework of Television News in Canada, 1980

DOI

Abstract copyright UK Data Service and data collection copyright owner.

This content data is part of a doctoral study on the ideological framework of television news in Canada, with particular focus on economic and industrial affairs. The hypothesis, broadly speaking, is that the `inferential framework' of the news will tend to support the legitimacy and intelligibility of capitalist social relations, and conversely to undermine political and economic challenges to those relations.

Main Topics:

Variables The content data in this file is the first and more general of two content studies of TV news. It roughly parallels the kind of data reported by the Glasgow media group in the first volume of their study <i>Bad news</i>. The key kinds of variables concern basic identification data (story topic, duration, position, etc.), technical inputs (film, graphics, etc.), modes of presentation, interviewees and news values. The discrete news item is the basic unit of analysis.

No sampling (total universe)

Compilation or synthesis of existing material

analysis of Canadian TV news

Identifier
DOI http://doi.org/10.5255/UKDA-SN-1560-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=80bd61e50502d4483b001c12a7817fdcb8322afc775c7dfa48e0f5ae1b022618
Provenance
Creator Hackett, R., Queen's University (Kingston, Ontario), Department of Political Studies
Publisher UK Data Service
Publication Year 1982
Funding Reference Radio, Television and Telecommunications Commission; Department of Labour
Rights No information recorded; <p><img alt="Creative Commons License" style="border-width:0" src="https://beta.ukdataservice.ac.uk/assets/img/logo-cc-nc-sa.png" /></a>&nbsp; The Data Collection is to be made available to any user without the requirement for registration for download/access under a <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International</a> Licence.</p>
OpenAccess true
Representation
Language English
Discipline Social Sciences
Spatial Coverage Canada