Visual analysis of news streams with article threads

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Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques - StreamKDD '10. New York, New York, USA: ACM Press, 2010, pp. 39-46. ISBN 978-1-4503-0226-5. Available under: doi: 10.1145/1833280.1833286
Zusammenfassung

The analysis of large quantities of news is an emerging area in the field of data analysis and visualization. International agencies collect thousands of news every day from a large number of sources and making sense of them is becoming increasingly complex due to the rate of the incoming news, as well as the inherent complexity of analyzing large quantities of evolving text corpora. Current visual techniques that deal with temporal evolution of such complex datasets, together with research efforts in related domains like text mining and topic detection and tracking, represent early attempts to understand, gain insight and make sense of these data. Despite these initial propositions, there is still a lack of techniques dealing directly with the problem of visualizing news streams in a "on-line" fashion, that is, in a way that the evolution of news can be monitored in real-time by the operator. In this paper we propose a purely visual technique that permits to see the evolution of news in real-time. The technique permits to show the stream of news as they enter into the system as well as a series of important threads which are computed on the fly. By merging single articles into threads, the technique permits to offload the visualization and retain only the most relevant information. The proposed technique is applied to the visualization of news streams generated by a news aggregation system that monitors over 4000 sites from 1600 key news portals world-wide and retrieves over 80000 reports per day in 43 languages.

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Fachgebiet (DDC)
004 Informatik
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Visual Analytics, News Analysis, Data Streaming
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the First International Workshop, 25. Juli 2010 - 25. Juli 2010, Washington, D.C.
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ISO 690KRSTAJIC, Milos, Enrico BERTINI, Florian MANSMANN, Daniel A. KEIM, 2010. Visual analysis of news streams with article threads. the First International Workshop. Washington, D.C., 25. Juli 2010 - 25. Juli 2010. In: Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques - StreamKDD '10. New York, New York, USA: ACM Press, 2010, pp. 39-46. ISBN 978-1-4503-0226-5. Available under: doi: 10.1145/1833280.1833286
BibTex
@inproceedings{Krstajic2010Visua-12706,
  year={2010},
  doi={10.1145/1833280.1833286},
  title={Visual analysis of news streams with article threads},
  isbn={978-1-4503-0226-5},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques - StreamKDD '10},
  pages={39--46},
  author={Krstajic, Milos and Bertini, Enrico and Mansmann, Florian and Keim, Daniel A.}
}
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