Towards a large-scale twitter observatory for political events

Senaka Fernando, Julio Amador Díaz López, Ovidiu Şerban, Juan Gómez-Romero, Miguel Molina-Solana*, Yi-Ke GUO

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)976-983
Number of pages8
JournalFuture Generation Computer Systems
Volume110
DOIs
Publication statusPublished - Sep 2020

Scopus Subject Areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

User-Defined Keywords

  • Big data
  • Large-scale visualisation
  • Scalable resolution display environments
  • Social media
  • Twitter analytics

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