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

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

doi:10.1007/978-3-030-55814-7_4

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

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

Universidad del Pacífico

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops
Subtitle of host publication	DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings
Editors	Ladjel 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
Pages	49-59
Number of pages	11
ISBN (Electronic)	9783030558130
DOIs	https://doi.org/10.1007/978-3-030-55814-7_4
State	Published - 1 Jan 2020
Event	Communications in Computer and Information Science - Duration: 1 Jan 2020 → …

Publication series

Name	Communications in Computer and Information Science
Volume	1260 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	Communications in Computer and Information Science
Period	1/01/20 → …

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Clustering
Event detection
Riot
Social media analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-55814-7_4

Cite this

Oncevay, A., Sobrevilla, M., Alatrista-Salas, H., & Melgar, A. (2020). Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest. In L. Bellatreche, M. Bieliková, O. Boussaïd, J. Darmont, B. Catania, E. Demidova, F. Duchateau, M. Hall, T. Mercun, M. Žumer, B. Novikov, C. Papatheodorou, T. Risse, O. Romero, L. Sautot, G. Talens, & R. Wrembel (Eds.), ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings (pp. 49-59). (Communications in Computer and Information Science; Vol. 1260 CCIS). https://doi.org/10.1007/978-3-030-55814-7_4

Oncevay, Arturo ; Sobrevilla, Marco ; Alatrista-Salas, Hugo et al. / Public Riots in Twitter : Domain-Based Event Filtering During Civil Unrest. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings. editor / Ladjel 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. 2020. pp. 49-59 (Communications in Computer and Information Science).

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title = "Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest",

abstract = "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.",

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Oncevay, A, Sobrevilla, M, Alatrista-Salas, H & Melgar, A 2020, Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest. in L Bellatreche, M Bieliková, O Boussaïd, J Darmont, B Catania, E Demidova, F Duchateau, M Hall, T Mercun, M Žumer, B Novikov, C Papatheodorou, T Risse, O Romero, L Sautot, G Talens & R Wrembel (eds), ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings. Communications in Computer and Information Science, vol. 1260 CCIS, pp. 49-59, Communications in Computer and Information Science, 1/01/20. https://doi.org/10.1007/978-3-030-55814-7_4

Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest. / Oncevay, Arturo; Sobrevilla, Marco; Alatrista-Salas, Hugo et al.
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings. ed. / Ladjel 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. 2020. p. 49-59 (Communications in Computer and Information Science; Vol. 1260 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sobrevilla, Marco

AU - Alatrista-Salas, Hugo

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AB - 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.

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Oncevay A, Sobrevilla M, Alatrista-Salas H, Melgar A. Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest. In Bellatreche L, Bieliková M, Boussaïd O, Darmont J, Catania B, Demidova E, Duchateau F, Hall M, Mercun T, Žumer M, Novikov B, Papatheodorou C, Risse T, Romero O, Sautot L, Talens G, Wrembel R, editors, ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Proceedings. 2020. p. 49-59. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-55814-7_4

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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