Tracking and analyzing the 2013 Italian election

Milicic, Vuk; Redondo Garcia, Jose Luis; Rizzo, Giuseppe; Troncy, Raphaël
ESWC 2013, 10th Extended Semantic Web Conference, Demos Track, May 26-30, 2013, Montpellier, France / Also published in LNCS, Volume 7955/2013

Social platforms open a window to what is happening in the world in near real-time: (micro-)posts and media items are shared by people to report their feelings and their activities related to any type of events. Such an information can be collected and analyzed in order to get
the big picture of an event from the crowd point of view. In this paper, we present a general framework to capture and analyze micro-posts containing media items relevant to a search term. We describe the results of an experiment that consists in collecting fresh social media posts (posts containing media items) from numerous social platforms in order to generate
the story of the \2013 Italian Election". Items are grouped in meaningful time intervals that are further analyzed through deduplication, clusterization, and visual representation. The final output is a storyboard that provides a satirical summary of the elections as perceived by the crowd. A screencast showing an example of these functionalities is published at
http://youtu.be/jIMdnwMoWnk while the system is publicly available at http://mediafinder.eurecom.fr/story/elezioni2013.


DOI
Type:
Poster / Demo
Date:
2013-05-26
Department:
Data Science
Eurecom Ref:
4031
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in ESWC 2013, 10th Extended Semantic Web Conference, Demos Track, May 26-30, 2013, Montpellier, France / Also published in LNCS, Volume 7955/2013 and is available at : http://dx.doi.org/10.1007/978-3-642-41242-4_35

PERMALINK : https://www.eurecom.fr/publication/4031