Expanding Awareness: Comparing Location, Keyword, and Network Filtering Methods to Collect Hyperlocal Social Media Data

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dc.contributor.authorGrace, Rob
dc.contributor.authorHalse, Shane
dc.contributor.authorAurite, William
dc.contributor.authorMontarnal, Aurélie
dc.contributor.authorTapia, Andrea
dc.date.accessioned2019-01-03T00:07:11Z
dc.date.available2019-01-03T00:07:11Z
dc.date.issued2019-01-08
dc.description.abstractOpportunities to collect real-time social media data during a crisis remain limited to location and keyword filtering despite the sparsity of geographic metadata and the tendency of keyword-based methods to capture information posted by remote rather than local users. Here we introduce a third, network filtering method that uses social network ties to infer the location of social media users in a geographic community and collect data from networks of these users during a crisis. In this paper we compare all three methods by analyzing the distribution of situational reports of infrastructure damage and service disruption across location, keyword, and network-filtered social media data during a weather emergency. We find that network filtering doubles the number of situational reports collected in real-time compared to location and keyword filtering alone, but that all three methods collect unique reports that can support situational awareness of incidents occurring across a community.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.325
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59707
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocial Media Management in Big Data Era
dc.subjectDigital and Social Media
dc.subjectemergency management, situational awareness, social media, social media analytics, social informatics
dc.titleExpanding Awareness: Comparing Location, Keyword, and Network Filtering Methods to Collect Hyperlocal Social Media Data
dc.typeConference Paper
dc.type.dcmiText

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