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HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language
IEEE Transactions on Computational Social SystemsSocial media platforms are a double-edged sword: on the one hand, they enable the dissemination of information; but on the other hand, they also provide an avenue for spreading online abuse and harassment, such as hate speech.
Krishanu Maity +6 more
semanticscholar +1 more source
Overview of Shared Task on Caste and Migration Hate Speech Detection
LTEDIWe present an overview of the first shared task on “Caste and Migration Hate Speech Detection.” The shared task is organized as part of LTEDI@EACL 2024. The system must delineate between binary outcomes, ascertaining whether the text is categorized as a ...
Saranya Rajiakodi +6 more
semanticscholar +1 more source
North American Chapter of the Association for Computational Linguistics
Social media, originally meant for peaceful communication, now faces issues with hate speech. Detecting hate speech from social media in Indian languages with linguistic diversity and cultural nuances presents a complex and challenging task. Furthermore,
Akshay Singh, Rahul Thakur
semanticscholar +1 more source
Social media, originally meant for peaceful communication, now faces issues with hate speech. Detecting hate speech from social media in Indian languages with linguistic diversity and cultural nuances presents a complex and challenging task. Furthermore,
Akshay Singh, Rahul Thakur
semanticscholar +1 more source
CASE
In the context of the proliferation of multimodal hate speech related to the Russia-Ukraine conflict, we introduce a unified multimodal fusion system for detecting hate speech and its targets in text-embedded images.
Yeshan Wang, Ilia Markov
semanticscholar +1 more source
In the context of the proliferation of multimodal hate speech related to the Russia-Ukraine conflict, we introduce a unified multimodal fusion system for detecting hate speech and its targets in text-embedded images.
Yeshan Wang, Ilia Markov
semanticscholar +1 more source
CASE
Addressing the need for effective hate speech moderation in contemporary digital discourse, the Multimodal Hate Speech Event Detection Shared Task made its debut at CASE 2023, co-located with RANLP 2023.
Surendrabikram Thapa +8 more
semanticscholar +1 more source
Addressing the need for effective hate speech moderation in contemporary digital discourse, the Multimodal Hate Speech Event Detection Shared Task made its debut at CASE 2023, co-located with RANLP 2023.
Surendrabikram Thapa +8 more
semanticscholar +1 more source
Web Science Conference
While minimising false negatives in hate speech classification remains an important goal in order to reduce discrimination and increase fairness for online communities, there is a growing need to produce models that are sensitive to nuanced language use.
Eszter Zsisku +2 more
semanticscholar +1 more source
While minimising false negatives in hate speech classification remains an important goal in order to reduce discrimination and increase fairness for online communities, there is a growing need to produce models that are sensitive to nuanced language use.
Eszter Zsisku +2 more
semanticscholar +1 more source
Internet, social media and online hate speech. Systematic review
Aggression and Violent Behavior, 2021Sérgio Andres Castano-Pulgarin +2 more
exaly
A probabilistic clustering model for hate speech classification in twitter
Expert Systems With Applications, 2021Femi Emmanuel Ayo +2 more
exaly