Contribution to the characterization and analysis of the temporal evolution of publications on the web about emergency events

Authors

Abstract

With the advent of Web 2.0, a technological, social and cultural revolution emerged, extending to all areas of society. In a short space of time, Web 2.0 has totally changed the way people take advantage of the Internet and interact with others and with the information they find. From mere consumers of content, these new users also began to produce information that they shared, thus taking the place of many processes and spaces traditionally dominated by corporations and institutions.At present, the existence of voluntary information in real time is more and more abundant and is present in the most diverse platforms. This is extremely useful when it comes to managing emergency situations by the different entities responsible. Despite its increase it is necessary that it be validated, since it is shared voluntarily without any control.This work then arises with the aim of collecting, organizing and analyzing manually the existing voluntary information related to emergency events. This makes it possible to draw conclusions about the quality of this information, how useful it is to support emergency management, and how best to collect and treat it automatically.In order to meet the proposed objectives, the work was then divided into several stages. Starting with defining the types of emergency events to include, how to collect the contributions of each event, creating a database adapted to the need and organizing all the information found. After all the survey and collection was done, a selection of relevant information was made by event, organizing in tables of contributions, creating timelines of contributions by event and, finally, doing a statistical analysis and the due discussion of all the results obtained.

Keywords

Contribution, Voluntary Information, Emergency event, Timeline, Voluntary Geographic Information

Subject

Voluntary Geographic Information

MSc Thesis

Contribution to the characterization and analysis of the temporal evolution of publications on the web about emergency events, November 2018