Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists

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Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists

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Publication 1-year master student thesis
Title Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists
Author(s) Njor, Miklas
Date 2015
English abstract
While news articles for print use one News Triangle, where important information is at the top of the article, online news articles are supposed to use a series of Stacked News Triangles, due to online readers text- skimming habits[1]. To identify Stacked News Triangles presence, we analyse how 68 Danish journalists annotate 31 articles. We use keyword frequency as the measure of popularity. To explore if Named Entities influence News Triangle presence, we analyse Named Entities found in the articles and keywords. We find the presence of an overall News Triangle in 30 of 31 articles, while, for the presence of Stacked News Triangles, 14 of the 31 articles have Stacked News Triangles. For Named Entities in News Triangles we cannot see what their influences is. Nonetheless, we find difference in Named Entity Types in each category (Culture, Domestic, Economy, Sports).
Publisher Malmö högskola/Teknik och samhälle
Pages 73
Language eng (iso)
Subject(s) Online News
Keyword popularity
Keyword frequency
Folksonomy
Named Entity
Handle http://hdl.handle.net/2043/20119 (link to this page)

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