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Semantics + filtering + search = twitcident. exploring information in social web streams

Published: 25 June 2012 Publication History

Abstract

Automatically filtering relevant information about a real-world incident from Social Web streams and making the information accessible and findable in the given context of the incident are non-trivial scientific challenges. In this paper, we engineer and evaluate solutions that analyze the semantics of Social Web data streams to solve these challenges. We introduce Twitcident, a framework and Web-based system for filtering, searching and analyzing information about real-world incidents or crises. Given an incident, our framework automatically starts tracking and filtering information that is relevant for the incident from Social Web streams and Twitter particularly. It enriches the semantics of streamed messages to profile incidents and to continuously improve and adapt the information filtering to the current temporal context. Faceted search and analytical tools allow people and emergency services to retrieve particular information fragments and overview and analyze the current situation as reported on the Social Web.
We put our Twitcident system into practice by connecting it to emergency broadcasting services in the Netherlands to allow for the retrieval of relevant information from Twitter streams for any incident that is reported by those services. We conduct large-scale experiments in which we evaluate (i) strategies for filtering relevant information for a given incident and (ii) search strategies for finding particular information pieces. Our results prove that the semantic enrichment offered by our framework leads to major and significant improvements of both the filtering and the search performance. A demonstration is available via: http://wis.ewi.tudelft.nl/twitcident/

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      cover image ACM Conferences
      HT '12: Proceedings of the 23rd ACM conference on Hypertext and social media
      June 2012
      340 pages
      ISBN:9781450313353
      DOI:10.1145/2309996
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 25 June 2012

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      Author Tags

      1. filtering
      2. search
      3. semantic enrichment
      4. social web streams
      5. twitcident
      6. twitter

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      HT '12
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      HT '12: 23rd ACM Conference on Hypertext and Social Media
      June 25 - 28, 2012
      Wisconsin, Milwaukee, USA

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      HT '12 Paper Acceptance Rate 33 of 120 submissions, 28%;
      Overall Acceptance Rate 378 of 1,158 submissions, 33%

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      Cited By

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      • (2022)Twitter-Based Disaster Response Using Recurrent NetsResearch Anthology on Managing Crisis and Risk Communications10.4018/978-1-6684-7145-6.ch031(613-632)Online publication date: 1-Jul-2022
      • (2022)Impact Estimation of Emergency Events Using Social Media Streams2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)10.1109/RTSI55261.2022.9905213(102-108)Online publication date: 24-Aug-2022
      • (2021)Bibliometric of Semantic Enrichment2021 7th International Conference on Web Research (ICWR)10.1109/ICWR51868.2021.9443147(202-205)Online publication date: 19-May-2021
      • (2021)Social media-based disaster research: Development, trends, and obstaclesInternational Journal of Disaster Risk Reduction10.1016/j.ijdrr.2021.10209555(102095)Online publication date: Mar-2021
      • (2021)A multi-modal approach towards mining social media data during natural disasters - A case study of Hurricane IrmaInternational Journal of Disaster Risk Reduction10.1016/j.ijdrr.2020.10203254(102032)Online publication date: Feb-2021
      • (2020)Analysis of Active Learning for Social Media to Support Crisis ManagementInternational Journal of Scientific Research in Science, Engineering and Technology10.32628/IJSRSET207476(291-294)Online publication date: 20-Aug-2020
      • (2020)Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, PhilippinesCybernetics and Information Technologies10.2478/cait-2020-005220:4(141-155)Online publication date: 10-Dec-2020
      • (2020)Active Online Learning for Social Media Analysis to Support Crisis ManagementIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.290617332:8(1445-1458)Online publication date: 1-Aug-2020
      • (2020)Event Coreference Fusion Based on Deep Residual Network and Structure Representation2020 IEEE 20th International Conference on Communication Technology (ICCT)10.1109/ICCT50939.2020.9295831(1503-1508)Online publication date: 28-Oct-2020
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