1. Towards a large-scale twitter observatory for political events
- Author
-
Juan Gómez-Romero, Ovidiu Serban, Yike Guo, Miguel Molina-Solana, Julio Amador Diaz Lopez, Senaka Fernando, and European Commission
- Subjects
Social network ,Computer Networks and Communications ,business.industry ,Computer science ,Scale (chemistry) ,Big data ,0803 Computer Software ,020206 networking & telecommunications ,0805 Distributed Computing ,02 engineering and technology ,Data science ,Pipeline (software) ,Visualization ,Politics ,Hardware and Architecture ,Observatory ,0806 Information Systems ,Paradigm shift ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Social media ,Distributed Computing ,business ,Software - 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.
- Published
- 2020