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Towards a large-scale twitter observatory for political events
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 |