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Transforming Social Media Insights into Actionable Responses for Disaster Management

This paper by Tom De Groeve and collaborators discusses the critical challenges posed by rapidly changing situations during disasters such as forest fires and earthquakes. It emphasizes the need for timely, localized public warnings and a structured information flow to address significant gaps during crises. The authors propose a comprehensive framework for assessing situation quality through integrated quality scores, focusing on credibility, relevance, and context. By leveraging social media, authorities can derive actionable knowledge that enhances decision-making and fosters timely responses, ultimately saving lives in uncertain situations.

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Transforming Social Media Insights into Actionable Responses for Disaster Management

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  1. Tom De Groeve

  2. Quality from Quantity Deriving actionable knowledge from social media streams Tom De Groeve, Beate Stollberg Frank Ostermann, Laura Spinsanti European Commission, Joint Research Centre, Ispra, Italy

  3. Forest Fires Rapidly changing situation Limited capacity of observation Localized public warnings

  4. Earthquakes Impact unknown Limited capacity of observation Local authorities may be affected Specific needs-driven response

  5. Information gaps Who? • Public What? • What is happening? • Should I flee? • What can I do?

  6. Information gaps Who? • Public What? • What is happening? • Should I flee? • What can I do? Who? • International response What? • What really happened? • Should I deploy? • What are the needs?

  7. Information flow Information flow

  8. Information flow Information flow

  9. Situation assessment What kind of earthquake is it? 1 day 20min Deployment? Earthquake Magnitude 7 Tsunami 2m Population 1 million OSOCC LEMA in charge USAR teams Control centre

  10. Situation assessment What kind of earthquake is it? Killed? Collapsed? Black out? Earthquake Magnitude 7 Tsunami 2m Population 1 million OSOCC LEMA in charge USAR teams Control centre Schools? Airports? Injured? Hospital?

  11. Data sources

  12. Data curation: sustainable? • Full external curation: retrieve, rate/score, and publish • Some external curation: Retrieve, validate, publish

  13. Automated data curation Filter relevant messages Content No rumours Statistics on relevant terms Time critical First 6h

  14. Elements of quality assessment Source Credibility Context Location

  15. Elements of quality assessment Source Credibility Context Location

  16. Elements of quality assessment Source Content Credibility Relevance Context Location

  17. Elements of quality assessment Source Content Credibility Relevance Context Location

  18. VGI Topicality Geo-location Spatio-temp-oral Context Integrated Quality Score Implementation aspects • Sum of weighted scores: QS(VGIj) = ∑Ni=1wisji • Topicality: keyword-based • Proximity: next concurrent reported hotspot • Land cover: Forest, no-Forest, Built-up • Population Density: Risk factor • Information clusters: Similar messages or lone signal?

  19. Tsunami in Peru

  20. Aftershock in Turkey

  21. Conclusions • From Quantity to Quality • Integrated Quality Score • Credibility • Relevance • Build answers for information gaps • Build answers for decision processes • Who takes responsibility? Who is liable?

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