DA-VINCIS - Detection of aggressive and violent incidents from social media in Spanish

Binary classification task that aims at determining whether or not a tweet in Mexican Spanish  is about a violent incident. The main aim of this task is to promote the research on developing automatic solutions for detecting violent events in social networks. The time frame elapsed between the occurrence of the event and when posted on social media, in this case, a lapse of 24 hours was defined as the maximum time for considering a tweet as reporting this kind of events.

Publication
Horacio Jarquín-Vásquez, Delia Irazú Hernández-Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Fernando Sanchez-Vega (2023) Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 351-360.

Task results

System F1
Arnold 0.9069
rkcd 0.8991
ITC 0.8969
CIMAT 0.9264
INGEOTEC 0.8903
CICESE 0.9203
ESCOM 0.8822
UC3M 0.9186
SINAI 0.9165
csuazob 0.9100

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.