Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery

After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located and what resources they need. While this information is difficult to capture quickly through conventional methods, aggregate usage patterns of social media apps like Facebook can help fill these information gaps. This talk will describe the data and methodology that power Facebook Disaster Maps. These maps utilize information about Facebook usage in areas impacted by natural hazards, producing insights into how the population is affected by and responding to the hazard. In addition to methodology details, including efforts taken to ensure the security and privacy of Facebook users, I'll also discuss how we worked with humanitarian partners to develop the maps, which are actively used in disaster response today. I'll give examples of insights generated from the maps and I'll also discuss some limitations of the current methodologies, challenges, and opportunities for improvement.

[1]  Fabio Ciravegna,et al.  Mapping Mobility to Support Crisis Management , 2018, ISCRAM.

[2]  L. Palen,et al.  Crisis informatics—New data for extraordinary times , 2016, Science.

[3]  John E. Taylor,et al.  Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster , 2016, PloS one.

[4]  Amit P. Sheth,et al.  Citizen Sensing, Social Signals, and Enriching Human Experience , 2009, IEEE Internet Computing.

[5]  Leysia Palen,et al.  From Crowdsourced Mapping to Community Mapping: The Post-earthquake Work of OpenStreetMap Haiti , 2014, COOP.

[6]  Petter Holme,et al.  Predictability of population displacement after the 2010 Haiti earthquake , 2012, Proceedings of the National Academy of Sciences.

[7]  Christian Reuter,et al.  Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research , 2018, Int. J. Hum. Comput. Interact..

[8]  C. Castillo,et al.  Big Crisis Data: Social Media in Disasters and Time-Critical Situations , 2019 .

[9]  Marta C. González,et al.  A universal model for mobility and migration patterns , 2011, Nature.

[10]  Sarah Vieweg,et al.  Situational Awareness in Mass Emergency: A Behavioral and Linguistic Analysis of Microblogged Communications , 2012 .

[11]  David Woods,et al.  Situation Awareness: A Critical But Ill-Defined Phenomenon , 1991 .

[12]  Amanda Lee Hughes Participatory design for the social media needs of emergency public information officers , 2014, ISCRAM.

[13]  Fernando Diaz,et al.  Extracting information nuggets from disaster- Related messages in social media , 2013, ISCRAM.

[14]  Wen-Xu Wang,et al.  Universal predictability of mobility patterns in cities , 2013, Journal of The Royal Society Interface.

[15]  Jie Yin,et al.  Emergency situation awareness from twitter for crisis management , 2012, WWW.

[16]  Carlos Castillo,et al.  What to Expect When the Unexpected Happens: Social Media Communications Across Crises , 2015, CSCW.

[17]  Rohan Shah,et al.  Designing an Application for Social Media Needs in Emergency Public Information Work , 2016, GROUP.

[18]  Leysia Palen,et al.  "Voluntweeters": self-organizing by digital volunteers in times of crisis , 2011, CHI.

[19]  Muhammad Imran,et al.  From Situational Awareness to Actionability , 2018, Proc. ACM Hum. Comput. Interact..

[20]  Leysia Palen,et al.  Microblogging during two natural hazards events: what twitter may contribute to situational awareness , 2010, CHI.