What just happened? A Framework for Social Event Detection and Contextualisation
View/ Open
Date
2014-10-21Author
Khare, Prashant
Torres, Pablo
Heravi, Bahareh Rahmanzadeh
Metadata
Show full item recordUsage
This item's downloads: 523 (view details)
Abstract
In course of a breaking news event, such as
natural calamity, political uproar etc., a massive
crowd sourced data is generated over social media
which makes social media platforms an important
source of information in such scenarios. The value of
the information being propagated via social media is
being increasingly realised by the news organisations
and the journalists. Better tools and methodologies
are needed to facilitate them in utilising this
information for news production. A lot of analysis
over social media, by the journalists, is performed
via rigorous manual labour. However, the sheer
volume of the data produced on social media is
overwhelming and acts as a major obstacle for
manual inspection of the streaming data for finding,
aggregating and contextualising the emerging event
in a short time span. This is a day-to-day challenge
for journalists and media organisations. This paper
addresses the above problem for journalist in
handling the voluminous social media data, viewing
it from an information retrieval perspective, by
proposing an event detection and contextualisation
framework that processes an input stream of social
media data into the clusters of likely events.
Description
Conference paper