The DOI matches its Crossref record.
Towards Effective Event Detection, Tracking and Summarization on Microblog Data
Overview
Integrity signals
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Cites
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Similar event tracking approaches include bipartite graph topical word selection, text classification to determine if incoming data relates to a previous or new event, and similarity metrics.
“Similar approaches to event tracking have been introduced by others, such as using a bipartite graph for topical word selection (Long et al. 2011), using text classification techniques to determine whether incoming data is related to a previously identified event or to a new one (Reuter and Cimiano 2012), and using similarity metrics (Tzelepis et al. 2016).”
From Detection and Resolution of Rumours in Social Media: A Survey (2019) · cites this paper as Long et al. 2011
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 10
- Baeza-Yates, R.A., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston (1999)
- Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: understanding microblogging usage and communities. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, WebKDD/SNA-KDD 2007, pp. 56–65. ACM, New York (2007)
- Lin, C.Y., Hovy, E.: Automatic evaluation of summaries using n-gram co-occurrence statistics. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, NAACL 2003, vol. 1. Association for Computational Linguistics, Stroudsburg (2003)
- Mitchell, T.: Machine Learning. McGraw-Hill Education (ISE Editions) (October 1997)
- Sakaki, T., Matsuo, Y.: How to become famous in the microblog world. In: ICWSM (2010) · DOI
- Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: World Wide Web Conference Series, pp. 851–860 (2010) · DOI
- Sayyadi, H., Hurst, M., Maykov, A.: Event detection and tracking in social streams. In: Adar, E., Hurst, M., Finin, T., Glance, N.S., Nicolov, N., Tseng, B.L. (eds.) ICWSM. The AAAI Press, Menlo Park (2009)
- Sharifi, B., Hutton, M.A., Kalita, J.: Summarizing microblogs automatically. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 685–688. Association for Computational Linguistics, Stroudsburg (2010)
- Teevan, J., Ramage, D., Morris, M.R.: #twittersearch: a comparison of microblog search and web search. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 2011, pp. 35–44. ACM, New York (2011) · DOI
- Zhao, Q., Mitra, P., Chen, B.: Temporal and information flow based event detection from social text streams. In: Proceedings of the 22nd National Conference on Artificial Intelligence, vol. 2, pp. 1501–1506. AAAI Press, Menlo Park (2007)
Cited by
Sorted by citations
Yang (2019) · doi:10.1145/3339474 · Cited by 632
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862
“Similar approaches to event tracking have been introduced by others, such as using a bipartite graph for topical word selection [Long et al. 2011], using text classification techniques to determine whether incoming data is related to a previously identified event or to a new one [Reuter and Cimiano…”
Method
Metadata
- Authors
- Long, R., Wang, H., Chen, Y., Jin, O., & Yu, Y.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 652-663
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W100239005
- Cited by
- 109
- References
- 0
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 7 · 2020: 9 · 2019: 9 · 2018: 7 · 2017: 21 · 2016: 15 · 2015: 11 · 2014: 8 · 2013: 6 · 2012: 7
- FWCI
- 5.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Keywords
- microblogging, event detection, event tracking, event summarization, bipartite graphs, event chains, diversity theory, content coverage, time evolution, social media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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