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

机译：全国范围内不同人口群体新闻消费的多维分析

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摘要

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.

机译：在2015年全年，Daum News（韩国第二受欢迎的新闻门户网站）检查了103133条在不同人群中最受欢迎的新闻，我们对新闻消费中的性别和年龄差异进行了多层次分析。我们在四个不同级别上测量了这种差异：（1）按实际新闻项；（2）按部分；（3）按主题；（4）按子主题。我们通过使用计算技术在四个级别上对新闻条目进行了表征，这些技术是主题建模以及单词和新闻条目的矢量表示。我们发现，在不同的受众群体中，新闻阅读行为的差异在子主题级别最为明显，但无论是章节级别还是主题级别。

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来源
《International Conference on Social Informatics》|2017年|124-142|共19页
会议地点 Oxford(GB)
作者
Jisun An; Haewoon Kwak;
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Qatar Computing Research Institute Hamad Bin Khalifa University Doha Qatar;

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关键词
News consumption; Online news; News media; News topic; Daum; News portal; Demographics; Gender differences; Age differences;

机译：新闻消费；在线新闻；新闻媒体;新闻主题；达姆新闻门户；人口统计资料；性别差异；年龄差异;

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

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