Related papers: Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues

Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues

URL: http://arxiv.org/abs/2212.04185v1
Date: Thu, 8 Dec 2022 10:54:31 GMT
Title: Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues
Authors: Zilin Lin, Kasper Welbers, Susan Vermeer, Damian Trilling
Abstract summary: We propose a non-discrete framework for mapping news items in terms of genre cues. To automatically analyze a large amount of news items, we deliver two computational models for predicting news sentences. This proposed approach helps in deepening our insight into the evolving nature of news genres.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: In the contemporary media landscape, with the vast and diverse supply of news, it is increasingly challenging to study such an enormous amount of items without a standardized framework. Although attempts have been made to organize and compare news items on the basis of news values, news genres receive little attention, especially the genres in a news consumer's perception. Yet, perceived news genres serve as an essential component in exploring how news has developed, as well as a precondition for understanding media effects. We approach this concept by conceptualizing and operationalizing a non-discrete framework for mapping news items in terms of genre cues. As a starting point, we propose a preliminary set of dimensions consisting of "factuality" and "formality". To automatically analyze a large amount of news items, we deliver two computational models for predicting news sentences in terms of the said two dimensions. Such predictions could then be used for locating news items within our framework. This proposed approach that positions news items upon a multidimensional grid helps in deepening our insight into the evolving nature of news genres.

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