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Determining the Consumer Information Content of Newspapers: A Proposed Analytical Framework and Illustrative Application
Author(s) -
HAYES RADAR
Publication year - 1989
Publication title -
journal of consumer affairs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.582
H-Index - 62
eISSN - 1745-6606
pISSN - 0022-0078
DOI - 10.1111/j.1745-6606.1989.tb00239.x
Subject(s) - newspaper , categorical variable , content analysis , advertising , content (measure theory) , perception , computer science , psychology , sociology , business , mathematics , social science , mathematical analysis , machine learning , neuroscience
A categorical framework and methods to estimate the attention devoted to delineated categories of consumer news are developed. The framework's empirical application is illustrated in an exploratory examination of 53 issues of USA Today published in late 1985. Content analysis is used as a “communicator analysis’ to investigate content as direct evidence about news producers rather than news receivers. The news organization's perceptions of the newsworthiness of consumer news categories are analyzed. Applications of the categorical framework for consumer research are discussed.

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