Proceedings of the 18th ACM Conference on Information and Knowledge Management 2009
DOI: 10.1145/1645953.1646225
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Predicting the volume of comments on online news stories

Abstract: On-line news agents provide commenting facilities for readers to express their views with regard to news stories. The number of user supplied comments on a news article may be indicative of its importance or impact. We report on exploratory work that predicts the comment volume of news articles prior to publication using five feature sets. We address the prediction task as a two stage classification task: a binary classification identifies articles with the potential to receive comments, and a second binary cl… Show more

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Cited by 129 publications
(114 citation statements)
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“…Some authors tackled the problem of predicting the popularity of an item before its publication [19,2,1]. Pre-publication predictions are particularly useful for web content characterized by a short lifespan such as online news articles.…”
Section: Related Workmentioning
confidence: 99%
See 4 more Smart Citations
“…Some authors tackled the problem of predicting the popularity of an item before its publication [19,2,1]. Pre-publication predictions are particularly useful for web content characterized by a short lifespan such as online news articles.…”
Section: Related Workmentioning
confidence: 99%
“…Pre-publication predictions are particularly useful for web content characterized by a short lifespan such as online news articles. The researchers in [19,2,1] built classifiers to classify news articles into different classes, such as 'low popularity', 'medium popularity', and 'high popularity'. As quantitative indicators of popularity, they considered the number of comments on an article, the number of associated tweets, and the number of views.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations