Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest

Arturo Oncevay, Marco Sobrevilla, Hugo Alatrista-Salas, Andrés Melgar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


Civil unrest is public manifestations, where people demonstrate their position for different causes. Sometimes, violent events or riots are unleashed in this kind of events, and these can be revealed from tweets posted by involved people. This study describes a methodology to detect riots within the time of a protest to identify potential adverse developments from tweets. Using two own datasets related to a violent and non-violent protest in Peru, we applied temporal clustering to obtain events and identify a tweet headline per cluster. We then extracted relevant terms for the scoring and ranking process using a different domain and contrast corpus built from different sources. Finally, we filtered the relevant events for the violence domain by using a contrast evaluation between the two datasets. The obtained results highlight the adequacy of the proposed approach.
Idioma originalInglés
Título de la publicación alojadaADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops
Subtítulo de la publicación alojadaDOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings
EditoresLadjel Bellatreche, Mária Bieliková, Omar Boussaïd, Jérôme Darmont, Barbara Catania, Elena Demidova, Fabien Duchateau, Mark Hall, Tanja Mercun, Maja Žumer, Boris Novikov, Christos Papatheodorou, Thomas Risse, Oscar Romero, Lucile Sautot, Guilaine Talens, Robert Wrembel
Número de páginas11
ISBN (versión digital)9783030558130
EstadoPublicada - 1 ene. 2020
EventoCommunications in Computer and Information Science -
Duración: 1 ene. 2020 → …

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1260 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937


ConferenciaCommunications in Computer and Information Science
Período1/01/20 → …

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Palabras clave

  • Clustering
  • Event detection
  • Riot
  • Social media analysis


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