E2mC: Improving Rapid Mapping with Social Network Information

Jose Luis Fernandez-Marquez, Chiara Francalanci (), Sharada Mohanty, Rosy Mondardini, Barbara Pernici and Gabriele Scalia
Additional contact information
Jose Luis Fernandez-Marquez: University of Geneva
Chiara Francalanci: Politecnico di Milano – DEIB
Sharada Mohanty: EPFL
Rosy Mondardini: University of Geneva
Barbara Pernici: Politecnico di Milano – DEIB
Gabriele Scalia: Politecnico di Milano – DEIB

A chapter in Organizing for the Digital World, 2019, pp 63-74 from Springer

Abstract: Abstract E2mC aims to demonstrate the technical and operational feasibility of the integration of social media analysis and crowdsourced information within both the Rapid Mapping and Early Warning Components of Copernicus Emergency Management Service (EMS). Copernicus is a European Commission programme developing information services based on satellite earth observation. A fundamental innovation with E2mC is to combine the automated analysis of social media information with crowdsourcing, with the general goal of improving the quality and dependability of the information provided to professional users within the Copernicus network. The automated analyses will focus on multimedia information (mainly pictures), which is most useful for rapid mapping purposes. A fundamental challenge to enable the effective use of multimedia information is geolocation. The paper presents a methodology to extract, integrate and geolocate information from social media and leverage the crowd to clean, validate and complement this information. Preliminary results from testing the methodology are presented based on the analysis of tweets on the earthquake that struck Central Italy in August 2016.

Keywords: Emergency management systems; Information extraction; Social media; Crowdsourcing (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-90503-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319905037

DOI: 10.1007/978-3-319-90503-7_6

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().