Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists
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 D...
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Malmö högskola, Fakulteten för teknik och samhälle (TS)
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ndltd-UPSALLA1-oai-DiVA.org-mau-203552020-11-25T05:33:24ZIdentifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 JournalistsengNjor, MiklasMalmö högskola, Fakulteten för teknik och samhälle (TS)Malmö högskola/Teknik och samhälle2015Online NewsKeyword popularityKeyword frequencyFolksonomyNamed EntityEngineering and TechnologyTeknik och teknologierWhile 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). Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20355Local 20119application/pdfinfo:eu-repo/semantics/openAccess |
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Online News Keyword popularity Keyword frequency Folksonomy Named Entity Engineering and Technology Teknik och teknologier |
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Online News Keyword popularity Keyword frequency Folksonomy Named Entity Engineering and Technology Teknik och teknologier Njor, Miklas Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
description |
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). |
author |
Njor, Miklas |
author_facet |
Njor, Miklas |
author_sort |
Njor, Miklas |
title |
Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
title_short |
Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
title_full |
Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
title_fullStr |
Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
title_full_unstemmed |
Identifying Single and Stacked News Triangles in Online News Articles - an Analysis of 31 Danish Online News Articles Annotated by 68 Journalists |
title_sort |
identifying single and stacked news triangles in online news articles - an analysis of 31 danish online news articles annotated by 68 journalists |
publisher |
Malmö högskola, Fakulteten för teknik och samhälle (TS) |
publishDate |
2015 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20355 |
work_keys_str_mv |
AT njormiklas identifyingsingleandstackednewstrianglesinonlinenewsarticlesananalysisof31danishonlinenewsarticlesannotatedby68journalists |
_version_ |
1719362107095384064 |