Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

Jingjing Wang; Wenzhu Tong; Hongkun Yu; Min Li; Xiuli Ma; Haoyan Cai; Tim Hanratty; Jiawei Han

doi:10.1109/ICDM.2015.112

Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A major event often has repercussions on both news media and microblogging sites such as Twitter. Reports from mainstream news agencies and discussions from Twitter complement each other to form a complete picture. An event can have multiple aspects (sub-events) describing it from multiple angles, each of which attracts opinions/comments posted on Twitter. Mining such reflections is interesting to both policy makers and ordinary people seeking information. In this paper, we propose a unified framework to mine multi-aspect reflections of news events in Twitter. We propose a novel and efficient dynamic hierarchical entity-aware event discovery model to learn news events and their multiple aspects. The aspects of an event are linked to their reflections in Twitter by a bootstrapped dataless classification scheme, which elegantly handles the challenges of selecting informative tweets under overwhelming noise and bridging the vocabularies of news and tweets. In addition, we demonstrate that our framework naturally generates an informative presentation of each event with entity graphs, time spans, news summaries and tweet highlights to facilitate user digestion.

Original language	English (US)
Title of host publication	Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015
Editors	Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	429-438
Number of pages	10
ISBN (Electronic)	9781467395038
DOIs	https://doi.org/10.1109/ICDM.2015.112
State	Published - Jan 5 2016
Event	15th IEEE International Conference on Data Mining, ICDM 2015 - Atlantic City, United States Duration: Nov 14 2015 → Nov 17 2015

Publication series

Name	Proceedings - IEEE International Conference on Data Mining, ICDM
Volume	2016-January
ISSN (Print)	1550-4786

Other

Other	15th IEEE International Conference on Data Mining, ICDM 2015
Country	United States
City	Atlantic City
Period	11/14/15 → 11/17/15

Keywords

Event discovery
News
Twitter

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/ICDM.2015.112

Cite this

Wang, J., Tong, W., Yu, H., Li, M., Ma, X., Cai, H., Hanratty, T., & Han, J. (2016). Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation. In C. Aggarwal, Z-H. Zhou, A. Tuzhilin, H. Xiong, & X. Wu (Eds.), Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015 (pp. 429-438). [7373347] (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2016-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2015.112

Mining multi-aspect reflection of news events in twitter : Discovery, linking and presentation. / Wang, Jingjing; Tong, Wenzhu; Yu, Hongkun; Li, Min; Ma, Xiuli; Cai, Haoyan; Hanratty, Tim; Han, Jiawei.

Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. ed. / Charu Aggarwal; Zhi-Hua Zhou; Alexander Tuzhilin; Hui Xiong; Xindong Wu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 429-438 7373347 (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2016-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, J, Tong, W, Yu, H, Li, M, Ma, X, Cai, H, Hanratty, T & Han, J 2016, Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation. in C Aggarwal, Z-H Zhou, A Tuzhilin, H Xiong & X Wu (eds), Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015., 7373347, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2016-January, Institute of Electrical and Electronics Engineers Inc., pp. 429-438, 15th IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, United States, 11/14/15. https://doi.org/10.1109/ICDM.2015.112

Wang J, Tong W, Yu H, Li M, Ma X, Cai H et al. Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation. In Aggarwal C, Zhou Z-H, Tuzhilin A, Xiong H, Wu X, editors, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 429-438. 7373347. (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDM.2015.112

Wang, Jingjing ; Tong, Wenzhu ; Yu, Hongkun ; Li, Min ; Ma, Xiuli ; Cai, Haoyan ; Hanratty, Tim ; Han, Jiawei. / Mining multi-aspect reflection of news events in twitter : Discovery, linking and presentation. Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. editor / Charu Aggarwal ; Zhi-Hua Zhou ; Alexander Tuzhilin ; Hui Xiong ; Xindong Wu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 429-438 (Proceedings - IEEE International Conference on Data Mining, ICDM).

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