IMEXT: A method and system to extract geolocated images from Tweets — Analysis of a case study

Chiara Francalanci · Paolo Guglielmino · Matteo Montalcini · Gabriele Scalia · Barbara Pernici

17 citations0/0 files storedInternational Conference on Research Challenges in Information Science (RCIS)

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Public Relations and Crisis Communication Disaster Management and Resilience Geographic Information Systems Studies

Abstract

Extracting useful information from social networks raises several challenges that still represent open research issues. In this paper we focus on the problem of extracting geolocated images from Tweets to support emergency response. A Tweet analysis process is discussed, focusing on the selection of posts, their geolocation based on their text content, and the subsequent analysis of the images linked by geolocated tweets. A prototype system has been built and tested on a case study based on the Tweets posted in the two days after the earthquake that occurred in Central Italy in August 2016. Results indicate that focusing on images linked by geolocated tweets represents a good criterion to identify useful information that can aid emergency response.

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2015Processing Social Media Messages in Mass Emergency 2013A survey of trust in social networks 2011Social Media and Disasters: Current Uses, Future Options, and Policy Considerations 2015A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages 2017Online Convergence Behavior, Social Media Communications and Crisis Response: An Empirical Study of the 2015 Nepal Earthquake Police Twitter Project 2016Designing an Application for Social Media Needs in Emergency Public Information Work 2017The Social Media Intelligence Analyst for Emergency Management

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