Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale

Examining 103,133 news articles that are the most popular for different demographic groups in Daum News (the second most popular news portal in South Korea) during the whole year of 2015, we provided multi-level analyses of gender and age differences in news consumption. We measured such differences...

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Detalles Bibliográficos
Autores principales: An, Jisun, Kwak, Haewoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121259/
http://dx.doi.org/10.1007/978-3-319-67217-5_9
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author An, Jisun
Kwak, Haewoon
author_facet An, Jisun
Kwak, Haewoon
author_sort An, Jisun
collection PubMed
description Examining 103,133 news articles that are the most popular for different demographic groups in Daum News (the second most popular news portal in South Korea) during the whole year of 2015, we provided multi-level analyses of gender and age differences in news consumption. We measured such differences in four different levels: (1) by actual news items, (2) by section, (3) by topic, and (4) by subtopic. We characterized the news items at the four levels by using the computational techniques, which are topic modeling and the vector representation of words and news items. We found that differences in news reading behavior across different demographic groups are the most noticeable in subtopic level but neither section nor topic levels.
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spelling pubmed-71212592020-04-06 Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale An, Jisun Kwak, Haewoon Social Informatics Article Examining 103,133 news articles that are the most popular for different demographic groups in Daum News (the second most popular news portal in South Korea) during the whole year of 2015, we provided multi-level analyses of gender and age differences in news consumption. We measured such differences in four different levels: (1) by actual news items, (2) by section, (3) by topic, and (4) by subtopic. We characterized the news items at the four levels by using the computational techniques, which are topic modeling and the vector representation of words and news items. We found that differences in news reading behavior across different demographic groups are the most noticeable in subtopic level but neither section nor topic levels. 2017-08-02 /pmc/articles/PMC7121259/ http://dx.doi.org/10.1007/978-3-319-67217-5_9 Text en © Springer International Publishing AG 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
An, Jisun
Kwak, Haewoon
Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title_full Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title_fullStr Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title_full_unstemmed Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title_short Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
title_sort multidimensional analysis of the news consumption of different demographic groups on a nationwide scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121259/
http://dx.doi.org/10.1007/978-3-319-67217-5_9
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