Workgreen2015

Pulling Information from social media in the aftermath of unpredictable disasters

Marco Avvenuti · Fabio Del Vigna · Stefano Cresci · Andrea Marchetti · Maurizio Tesconi

32 citations0/0 files storedInternational Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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Public Relations and Crisis Communication Disaster Management and Resilience Seismology and Earthquake Studies

Abstract

Social media have become a primary communication channel among people and are continuously overwhelmed by huge volumes of User Generated Content. This is especially true in the aftermath of unpredictable disasters, when users report facts, descriptions and photos of the unfolding event. This material contains actionable information that can greatly help rescuers to achieve a better response to crises, but its volume and variety render manual processing unfeasible. This paper reports the experience we gained from developing and using a web-enabled system for the online detection and monitoring of unpredictable events such as earthquakes and floods. The system captures selected message streams from Twitter and offers decision support functionalities for acquiring situational awareness from textual content and for quantifying the impact of disasters. The software architecture of the system is described and the approaches adopted for messages filtering, emergency detection and emergency monitoring are discussed. For each module, the results of real-world experiments are reported. The modular design makes the system easy configurable and allowed us to conduct experiments on different crises, including Emilia earthquake in 2012 and Genoa flood in 2014. Finally, some possible functionalities relying on the analysis of multimedia information are introduced.

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References

2009Twitter adoption and use in mass convergence and emergency events 2015Processing Social Media Messages in Mass Emergency 2009"OMG, from here, I can see the flames!"2012Emergency situation awareness from twitter for crisis management 2010OMG Earthquake! Can Twitter Improve Earthquake Response?2015A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages 2013Tweet4act: Using Incident-Specific Profiles for Classifying Crisis-Related Messages 2015Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages

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2016Impromptu Crisis Mapping to Prioritize Emergency Response 2017On the need of opening up crowdsourced emergency management systems 2024Performance evaluation of NLP and CNN models for disaster detection using social media data 2020Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System 2018Emergency Detection and Evacuation Planning Using Social Media

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