Abstract
Despite many users get timely information through various social media platforms, news websites remain important mainstream media for high-quality news articles and comprehensive news coverage. Moreover, news websites are becoming well connected with the social media platform by enabling one-click sharing, allowing readers to comment on the articles, and pushing news update to social media through dedicated accounts. In this paper, we make the first step to analyze user behavior for news viewing, news commenting, and news sharing. Specifically, we focus on the sets of most-viewed, most-shared, and most-commented news published by a major news agency for about two months. Through topic modeling and named entity analysis, we observe that economy news is more likely to be shared and sports news is less likely to be shared or commented. News about health has higher chance of being shared, but does not attract large number of comments. Lastly, users are more likely to comment on than to share politics news.
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Yao, Y., Sun, A. (2013). Are Most-Viewed News Articles Most-Shared?. In: Banchs, R.E., Silvestri, F., Liu, TY., Zhang, M., Gao, S., Lang, J. (eds) Information Retrieval Technology. AIRS 2013. Lecture Notes in Computer Science, vol 8281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45068-6_35
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DOI: https://doi.org/10.1007/978-3-642-45068-6_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45067-9
Online ISBN: 978-3-642-45068-6
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