Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2017
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.
Keywords
Age differences, Daum, Demographics, Gender differences, News consumption, News media, News portal, News topic, Online news
Discipline
Demography, Population, and Ecology
Research Areas
Data Science and Engineering
Publication
Proceedings of the 9th International Conference on Social Informatics, SocInfo 2017, Oxford, United Kingdom, September 13-15
First Page
124
Last Page
142
ISBN
9783319672168
Identifier
10.1007/978-3-319-67217-5_9
Publisher
Springer Verlag
City or Country
Switzerland
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://link.springer.com/chapter/10.1007/978-3-319-67217-5_9