Publication

Towards Social Event Detection and Contextualisation for Journalists

Khare, Prashant
; 
Heravi, Bahareh Rahmanzadeh
Thumbnail Image
Files
Thumbnail Image
19_Paper_(2).pdf
Adobe PDF, 336 KB
Repository DOI
Publication Date
2014-08-23
Keywords
Event detection, Contextualisation, Citizen journalism, Social semantic journalism, User generated content, Social media, Social media news
Type
Conference Paper
Downloads
Show all metadata
Citation
Khare, P.; Heravi B. R. (2014) Towards Social Event Detection and Contextualisation for Journalists In the proceedings of the AHA! Workshop on Information Discovery in Text, at the 25th International Conference on Computational Linguistics, August 2014 Dublin,
Abstract
Social media platforms have become an important source of information in course of a break- ing news event, such as natural calamity, political uproar, etc. News organisations and journal- ists are increasingly realising the value of information being propagated via social media. However, the sheer volume of the data produced on social media is overwhelming and manual inspection of this streaming data for finding, aggregation, and contextualising emerging event in a short time span is a day-to-day challenge by journalists and media organisations. It high- lights the need for better tools and methods to help them utilise this user generated information for news production. This paper addresses the above problem for journalists by proposing an event detection and contextualisation framework that receives an input stream of social media data and generates the likely events in the form of clusters along with a certain context. 
Funder
|~|SFI|~|
Publisher
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
cbn
Collections
Data Science Institute (Conference Papers)