DA-VINCIS: Detection of Aggressive and Violent Incidents from Social Media in Spanish
>>> 2023 <<<
The registration phase is now open, go to:
Introduction
Violence has obvious negative effects on those who witness or experience it, including a higher incidence of depression, anxiety, post-traumatic stress disorder, among others. In addition, violence events have a high impact for governments, as they are in charge of guaranteeing security to their population.
Therefore, the detection and tracking of violence related events is critical. In this context, social networks comprise a valuable information source for the detection and monitoring of violent events, as people very often post publications notifying the occurrence of violent events in real time.
This represents an important opportunity for IT researchers that can provide solutions based on natural language processing for the timely detection of violent incidents in social networks. Solutions of this kind could be used by authorities to respond more efficiently to events happening in real time, and to develop crime prevention policies according to geographical zones and types of events. Likewise, such solutions would be very helpful to the population, as one could know what violent events are happening in which zones in real time.
Shared task overview
We are organizing a task for IberLEF2023 called DA-VINCIS. The task focuses on the detection of violent incidents on Twitter using images and text. It challenges participants to develop multimodal methods able to classify tweets as reporting a violent event or not. For this first edition, the shared task will target Spanish. This is motivated by the lack of resources in Spanish for approaching the task. We are releasing a novel corpus carefully labeled according to violent event categories. The shared task will feature two tracks: (1) violent event identification and (2) violent event category recognition, see below.
Previous Edition
Stay tuned, registration to the
DA-VINCIS mailing list
