The Pursuit of Journalistic News Values through Text Mining Techniques

author: Evgenia Belyaeva, Artificial Intelligence Laboratory, Jožef Stefan Institute
published: Oct. 21, 2015,   recorded: October 2015,   views: 1386


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The paper addresses a problem of pursuit of journalistic news values, more specifically frequency, threshold and proximity through various text mining methods is presented. We illustrate how text mining can assists journalistic work by finding ideological, often orthodox news values of different international publishers across the world news that contribute to ubiquitous news bias. Our experiments on selected publishers and on news about Apple’s launch of new iPhone 6 and Apple Watch confirm that journalists still follow some of the well known journalistic values.

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