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On the dynamics of user engagement in news comment media
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2019-11-03 , DOI: 10.1002/widm.1342
Lihong He 1 , Chao Han 1 , Arjun Mukherjee 2 , Zoran Obradovic 1 , Eduard Dragut 1
Affiliation  

Many news outlets allow users to contribute comments on topics about daily world events. News articles are the seeds that spring users' interest to contribute content, that is, comments. A news outlet may allow users to contribute comments on all their articles or a selected number of them. The topic of an article may lead to an apathetic user commenting activity (several tens of comments) or to a spontaneous fervent one (several thousands of comments). This environment creates a social dynamic that is little studied. The social dynamics around articles have the potential to reveal interesting facets of the user population at a news outlet. In this paper, we report the salient findings about these social media from 15 months worth of data collected from 17 news outlets comprising of over 38,000 news articles and about 21 million user comments. Analysis of the data reveals interesting insights such as there is an uneven relationship between news outlets and their user populations across outlets. Such observations and others have not been revealed, to our knowledge. We believe our analysis in this paper can contribute to news predictive analytics (e.g., user reaction to a news article or predicting the volume of comments posted to an article).

中文翻译:

关于新闻评论媒体中用户参与的动态

许多新闻媒体都允许用户对有关每日世界事件的主题发表评论。新闻文章是激发用户兴趣来提供内容(即评论)的种子。新闻媒体可以允许用户对所有文章或选定数目的文章发表评论。文章的主题可能导致无动于衷的用户评论活动(数十条评论)或自发的热情评论(数千条评论)。这种环境创造了很少研究的社会动力。围绕文章的社交动态有可能在新闻媒体上揭示用户群体有趣的方面。在本文中,我们报告了从17个新闻媒体收集的15个月的数据中有关这些社交媒体的重要发现,这些数据包括38,000多个新闻文章和大约2100万用户评论。对数据的分析揭示了有趣的见解,例如新闻媒体与其跨媒体用户之间的关系不平衡。据我们所知,这种观察和其他观察还没有发现。我们认为本文的分析可以有助于新闻预测分析(例如,用户对新闻文章的反应或预测发表在文章上的评论数量)。
更新日期:2019-11-03
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