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...

Full description

Bibliographic Details
Main Author: Njor, Miklas
Format: Others
Language:English
Published: Malmö högskola, Fakulteten för teknik och samhälle (TS) 2015
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20355
id ndltd-UPSALLA1-oai-DiVA.org-mau-20355
record_format oai_dc
spelling 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
collection NDLTD
language English
format Others
sources NDLTD
topic Online News
Keyword popularity
Keyword frequency
Folksonomy
Named Entity
Engineering and Technology
Teknik och teknologier
spellingShingle 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