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In this paper we explore a novel method for collecting survey data followinga natural disaster and then combine this data with device-derived mobilityinformation to explore demographic outcomes. Using social media as a surveyplatform for measuring demographic outcomes, especially those that arechallenging or expensive to field for, is increasingly of interest to thedemographic community. Recent work by Schneider and Harknett (2019) exploresthe use of Facebook targeted advertisements to collect data on low-income shiftworkers in the United States. Other work has addressed immigrant assimilation(Stewart et al, 2019), world fertility (Ribeiro et al, 2020), and worldmigration stocks (Zagheni et al, 2017). We build on this work by introducing arapid-response survey of post-disaster demographic and economic outcomesfielded through the Facebook app itself. We use these survey responses toaugment app-derived mobility data that comprises Facebook Displacement Maps toassess the validity of and drivers underlying those observed behavioral trends.This survey was deployed following the 2019 Australia bushfires to betterunderstand how these events displaced residents. In doing so we are able totest a number of key hypotheses around displacement and demographics. Inparticular, we uncover several gender differences in key areas, including indisplacement decision-making and timing, and in access to protective equipmentsuch as smoke masks. We conclude with a brief discussion of research and policyimplications.

Using social media to measure demographic responses to natural disaster:  Insights from a large-scale Facebook survey following the 2019 Australia  Bushfires