Cited By
View all- Martinez-Castano RLosada DPichel J(2022)Real-Time Focused Extraction of Social Media UsersIEEE Access10.1109/ACCESS.2022.316897710(42607-42622)Online publication date: 2022
Sover! Social Media Observer
Pages 1305 - 1308
Abstract
The observation of social media provides an important complementing source of information about an unfolding event such as a crisis situation. For this purpose we have developed and demonstrate Sover!, a system to monitor real-time dynamic events via Twitter targeting the needs of aid organizations. At its core it builds upon an effective adaptive crawler, which combines two social media streams in a Bayesian inference framework and after each time-window updates the probabilities of whether given keywords are relevant for an event. Sover! also exposes the crawling functionality so a user can actively influence the evolving selection of keywords. The crawling activity feeds a rich dashboard, which enables the user to get a better understanding of a crisis situation as it unfolds in real-time.
References
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Fabian Abel, Claudia Hauff, Geert-Jan Houben, Richard Stronkman, and Ke Tao. 2012. Twitcident: fighting fire with information from social web streams Proceedings of the 21st International Conference on World Wide Web.
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Clayton A Davis, Giovanni Luca Ciampaglia, Luca Maria Aiello, Keychul Chung, Michael D Conover, Emilio Ferrara, Alessandro Flammini, Geoffrey C Fox, Xiaoming Gao, Bruno Gonccalves, et almbox. 2016. OSoMe: the IUNI observatory on social media. PeerJ Computer Science Vol. 2 (2016), e87.
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Walid Magdy and Tamer Elsayed. 2016. Unsupervised adaptive microblog filtering for broad dynamic topics. Inf. Process. Manage. Vol. 52, 4 (2016), 513--528.
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Richard McCreadie, Craig Macdonald, and Iadh Ounis. 2016. EAIMS: Emergency Analysis Identification and Management System. SIGIR. ACM, 1101--1104.
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Jakob Rogstadius, Maja Vukovic, CA Teixeira, Vassilis Kostakos, Evangelos Karapanos, and Jim Alain Laredo. 2013. CrisisTracker: Crowdsourced social media curation for disaster awareness. IBM Journal of Research and Development (2013).
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Mehdi Sadri, Sharad Mehrotra, and Yaming Yu. 2016. Online Adaptive Topic Focused Tweet Acquisition. In CIKM. ACM, 2353--2358.
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Xinyue Wang, Laurissa Tokarchuk, and Stefan Poslad. 2014. Identifying relevant event content for real-time event detection. ASONAM. IEEE Computer Society.
Index Terms
- Sover! Social Media Observer
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Information & Contributors
Information
Published In
June 2018
1509 pages
ISBN:9781450356572
DOI:10.1145/3209978
- General Chairs:
- Kevyn Collins-Thompson,
- Qiaozhu Mei,
- Program Chairs:
- Brian Davison,
- Yiqun Liu,
- Emine Yilmaz
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 June 2018
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Author Tags
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- Demonstration
Funding Sources
- German Federal Ministry of Education and Research (BMBF) under project K3
Conference
SIGIR '18
Sponsor:
SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval
July 8 - 12, 2018
MI, Ann Arbor, USA
Acceptance Rates
SIGIR '18 Paper Acceptance Rate 86 of 409 submissions, 21%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%
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Cited By
View all- Martinez-Castano RLosada DPichel J(2022)Real-Time Focused Extraction of Social Media UsersIEEE Access10.1109/ACCESS.2022.316897710(42607-42622)Online publication date: 2022
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