Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSocial Informatics - 9th International Conference, SocInfo 2017, Proceedings
PublisherSpringer Verlag
Pages124-142
Number of pages19
ISBN (Print)9783319672168
DOIs
Publication statusPublished - 1 Jan 2017
Event9th International Conference on Social Informatics, SocInfo 2017 - Oxford, United Kingdom
Duration: 13 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Social Informatics, SocInfo 2017
CountryUnited Kingdom
CityOxford
Period13/9/1715/9/17

Fingerprint

Computational Techniques
Modeling
Gender

Keywords

  • Age differences
  • Daum
  • Demographics
  • Gender differences
  • News consumption
  • News media
  • News portal
  • News topic
  • Online news

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

An, J., & Kwak, H. (2017). Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale. In Social Informatics - 9th International Conference, SocInfo 2017, Proceedings (pp. 124-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10539 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67217-5_9

Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale. / An, Jisun; Kwak, Haewoon.

Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Springer Verlag, 2017. p. 124-142 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10539 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

An, J & Kwak, H 2017, Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale. in Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10539 LNCS, Springer Verlag, pp. 124-142, 9th International Conference on Social Informatics, SocInfo 2017, Oxford, United Kingdom, 13/9/17. https://doi.org/10.1007/978-3-319-67217-5_9
An J, Kwak H. Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale. In Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Springer Verlag. 2017. p. 124-142. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-67217-5_9
An, Jisun ; Kwak, Haewoon. / Multidimensional analysis of the news consumption of different demographic groups on a nationwide scale. Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Springer Verlag, 2017. pp. 124-142 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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