Characterizing the life cycle of online news stories using social media reactions

@article{Castillo2014CharacterizingTL,
  title={Characterizing the life cycle of online news stories using social media reactions},
  author={C. Castillo and Mohammed El-Haddad and J. Pfeffer and Matt Stempeck},
  journal={Proceedings of the 17th ACM conference on Computer supported cooperative work \& social computing},
  year={2014}
}
This paper presents a study of the life cycle of news articles posted online. We describe the interplay between website visitation patterns and social media reactions to news content. We show that we can use this hybrid observation method to characterize distinct classes of articles. We also find that social media reactions can help predict future visitation patterns early and accurately. We validate our methods using qualitative analysis as well as quantitative analysis on data from a large… Expand
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