Exploring Patterns of Uncertainty in Crowdsourced Crisis Information
Iain Dillingham, Jason A. Dykes, Jo Wood · City Research Online (City University London) · 2012
The humanitarian community is reluctant to use reports from social media when responding to a crisis event, as it fears the costs of untrustworthy and inaccurate information [TBJ∗11]. Organisations such as Ushahidi use crowdsourcing to identify ‘reliable’ reports, but this introduces further uncertainty. By combining human and computational approaches, VA offers a powerful means of tackling complex socio-technical issues such as these. We present an ongoing research programme that combines interactive visual representations with spatial statistical functions to explore patterns of uncertainty in crowdsourced crisis information.