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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
Creator	An, Jisun Kwak, Haewoon
Source	PMC
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.
has issue date	2017-08-02(xsd:dateTime)
bibo:doi	10.1007/978-3-319-67217-5_9
has license	no-cc
sha1sum (hex)	94ae6051900453d05d92f745a15a819602048e58
schema:url	https://doi.org/10.1007/978-3-319-67217-5_9
resource representing a document's title	Multidimensional Analysis of the News Consumption of Different Demographic Groups on a Nationwide Scale
has PubMed Central identifier	PMC7121259
schema:publication	Social Informatics
resource representing a document's body	covid:94ae6051900453d05d92f745a15a819602048e58#body_text
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