Using social media to measure demographic responses to natural disaster:
Insights from a large-scale Facebook survey following the 2019 Australia
Bushfires
- URL: http://arxiv.org/abs/2008.03665v1
- Date: Sun, 9 Aug 2020 05:55:26 GMT
- Title: Using social media to measure demographic responses to natural disaster:
Insights from a large-scale Facebook survey following the 2019 Australia
Bushfires
- Authors: Paige Maas and Zack Almquist and Eugenia Giraudy and JW Schneider
- Abstract summary: We introduce a rapid-response survey of post-disaster demographic and economic outcomes fielded through the Facebook app itself.
We use these survey responses to augment app-derived mobility data that comprises Facebook Displacement Maps.
We uncover several differences in key areas, including in displacement decision-making and timing.
- Score: 3.441021278275805
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In this paper we explore a novel method for collecting survey data following
a natural disaster and then combine this data with device-derived mobility
information to explore demographic outcomes. Using social media as a survey
platform for measuring demographic outcomes, especially those that are
challenging or expensive to field for, is increasingly of interest to the
demographic community. Recent work by Schneider and Harknett (2019) explores
the use of Facebook targeted advertisements to collect data on low-income shift
workers in the United States. Other work has addressed immigrant assimilation
(Stewart et al, 2019), world fertility (Ribeiro et al, 2020), and world
migration stocks (Zagheni et al, 2017). We build on this work by introducing a
rapid-response survey of post-disaster demographic and economic outcomes
fielded through the Facebook app itself. We use these survey responses to
augment app-derived mobility data that comprises Facebook Displacement Maps to
assess the validity of and drivers underlying those observed behavioral trends.
This survey was deployed following the 2019 Australia bushfires to better
understand how these events displaced residents. In doing so we are able to
test a number of key hypotheses around displacement and demographics. In
particular, we uncover several gender differences in key areas, including in
displacement decision-making and timing, and in access to protective equipment
such as smoke masks. We conclude with a brief discussion of research and policy
implications.
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