Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13302
DC FieldValueLanguage
dc.contributor.authorRogstadius, Jakob-
dc.contributor.authorVukovic, Maja-
dc.contributor.authorTeixeira, Claudio A.-
dc.contributor.authorKostakos, Vassilis-
dc.contributor.authorKarapanos, Evangelos-
dc.contributor.authorLaredo, Jim Alain-
dc.date.accessioned2019-02-12T11:06:37Z-
dc.date.available2019-02-12T11:06:37Z-
dc.date.issued2013-09-17-
dc.identifier.citationIBM Journal of Research and Development, 2013, Volume 57, Issue 5, Article number 6601695en_US
dc.identifier.issn0018-8646-
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/13302-
dc.description.abstractVictims, volunteers, and relief organizations are increasingly using social media to report and act on large-scale events, as witnessed in the extensive coverage of the 2010-2012 Arab Spring uprisings and 2011 Japanese tsunami and nuclear disasters. Twitter® feeds consist of short messages, often in a nonstandard local language, requiring novel techniques to extract relevant situation awareness data. Existing approaches to mining social media are aimed at searching for specific information, or identifying aggregate trends, rather than providing narratives. We present CrisisTracker, an online system that in real time efficiently captures distributed situation awareness reports based on social media activity during large-scale events, such as natural disasters. CrisisTracker automatically tracks sets of keywords on Twitter and constructs stories by clustering related tweets on the basis of their lexical similarity. It integrates crowdsourcing techniques, enabling users to verify and analyze stories. We report our experiences from an 8-day CrisisTracker pilot deployment during 2012 focused on the Syrian civil war, which processed, on average, 446,000 tweets daily and reduced them to consumable stories through analytics and crowdsourcing. We discuss the effectiveness of CrisisTracker based on the usage and feedback from 48 domain experts and volunteer curators. © 1957-2012 IBM.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.ispartofIBM Journal of Research and Developmenten_US
dc.rights© Copyright 2013 by International Business Machines Corporation.en_US
dc.subjectLarge-scale eventen_US
dc.subjectLexical similarityen_US
dc.subjectLocal languageen_US
dc.subjectNatural disastersen_US
dc.subjectNovel techniquesen_US
dc.subjectRelief organizationsen_US
dc.subjectSituation awarenessen_US
dc.subjectSpecific informationen_US
dc.subjectData miningen_US
dc.subjectSocial networking (online)en_US
dc.subjectDisastersen_US
dc.titleCrisisTracker: crowdsourced social media curation for disaster awarenessen_US
dc.typeArticleen_US
dc.collaborationMadeira Interactive Technologies Instituteen_US
dc.collaborationIBM Research Divisionen_US
dc.collaborationUniversity of Ouluen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsSubscription Journalen_US
dc.countryPortugalen_US
dc.countryUnited Statesen_US
dc.countryFinlanden_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1147/JRD.2013.2260692-
cut.common.academicyear2013-2014en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1other-
crisitem.journal.journalissn0018-8646-
crisitem.journal.publisherIBM Corp. Riverton, NJ, USA-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0001-5910-4996-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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