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Towards a large-scale twitter observatory for political events

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Title: Towards a large-scale twitter observatory for political events
Authors: Fernando, S
Amador Díaz López, J
Şerban, O
Gómez-Romero, J
Molina-Solana, M
Guo, Y
Item Type: Journal Article
Abstract: Explosion in usage of social media has made its analysis a relevant topic of interest, and particularly so in the political science area. Within Data Science, no other techniques are more widely accepted and appealing than visualisation. However, with datasets growing in size, visualisation tools also require a paradigm shift to remain useful in big data contexts. This work presents our proposal for a Large-Scale Twitter Observatory that enables researchers to efficiently retrieve, analyse and visualise data from this social network to gain actionable insights and knowledge related with political events. In addition to describing the supporting technologies, we put forward a working pipeline and validate the setup with different examples.
Issue Date: 1-Sep-2020
Date of Acceptance: 27-Oct-2019
URI: http://hdl.handle.net/10044/1/74658
DOI: 10.1016/j.future.2019.10.013
ISSN: 0167-739X
Publisher: Elsevier BV
Start Page: 976
End Page: 983
Journal / Book Title: Future Generation Computer Systems
Volume: 110
Copyright Statement: © 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: European Commission
Funder's Grant Number: GA 743623
Keywords: Distributed Computing
0803 Computer Software
0805 Distributed Computing
0806 Information Systems
Publication Status: Published
Online Publication Date: 2019-10-31
Appears in Collections:Imperial College Business School
Computing
Faculty of Engineering