Arc-nlp at multimodal hate speech event detection 2023: Multimodal methods boosted by ensemble learning, syntactical and entity features
Text-embedded images can serve as a means of spreading hate speech, propaganda, and
extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied …
extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied …
Tweets under the rubble: Detection of messages calling for help in earthquake disaster
The importance of social media is again exposed in the recent tragedy of the 2023 Turkey
and Syria earthquake. Many victims who were trapped under the rubble called for help by …
and Syria earthquake. Many victims who were trapped under the rubble called for help by …
Extended Multilingual Protest News Detection--Shared Task 1, CASE 2021 and 2022
We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection.
This task is a continuation of CASE 2021 that consists of four subtasks that are i) document …
This task is a continuation of CASE 2021 that consists of four subtasks that are i) document …
ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements
Social media users often express hate speech towards specific targets and may either
support or refuse activist movements. The automated detection of hate speech, which …
support or refuse activist movements. The automated detection of hate speech, which …