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

Additional URL

https://link.springer.com/chapter/10.1007/978-3-319-67217-5_9

Share

COinS