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Spatial patterns and demographic indicators of effective social media content during the Horsethief Canyon fire of 2012 / Joshua Kent in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 2 (March 2013) . - pp 78 - 89 Titre : Spatial patterns and demographic indicators of effective social media content during the Horsethief Canyon fire of 2012 Type de document : Article/Communication Auteurs : Joshua Kent, Auteur ; Henry T. Cappello Jr, Auteur Année de publication : 2013 Article en page(s) : pp 78 - 89 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] autocorrélation spatiale [Termes IGN] données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] fiabilité des données [Termes IGN] gestion de crise [Termes IGN] incendie [Termes IGN] indicateur démographique [Termes IGN] réseau social [Termes IGN] risque majeur Résumé : (Auteur) A significant challenge during any emergency response scenario is the timely compilation of actionable data from disparate sources. Although numerous strategies exist, crisis mapping techniques have emerged as effective tools for synthesizing and visualizing event specific data when establishing situational awareness. User generated content (UGC) voluntarily submitted through social networking outlets (e.g., Twitter, Instagram, Flickr, and others) are increasingly being consumed and mined for actionable data (e.g., Goodchild 2007; Elwood, Goodchild, and Sui 2012). Despite its apparent value as a rich and instantaneous source of actionable content, little research has emerged examining the underlying demographic characteristics that are likely to produce effective crowdsourced content during a crisis. Accordingly, this study collected and synthesized user generated data extracted from multiple social networks during the Horsethief Canyon Fire that occurred near Jackson, Wyoming, in September 2012. The spatial distribution of wildfire and non-wildfire specific UGC were compared to confirm the presence of a social networking user base that contributed to situational awareness. Regression analysis was used to identify relevant demographic characteristics that reflect the portion of the impacted community that will voluntarily contribute meaningful data about the fire. The preliminary findings suggest that emergency responders can use these techniques to quickly and efficiently assess the efficacy of mining actionable data from social media in a given community. Recommendations for additional research are discussed and provided. Numéro de notice : A2013-744 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1080/15230406.2013.776727 En ligne : https://doi.org/10.1080/15230406.2013.776727 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32880 [article]

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