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Found 14 papers, 8 papers with code
Zero shot VLMs for hate meme detection: Are we there yet?
In this study, we aim to investigate the efficacy of these visual language models in handling intricate tasks such as hate meme detection.
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi
With the rise of online abuse, the NLP community has begun investigating the use of neural architectures to generate counterspeech that can "counter" the vicious tone of such abusive speech and dilute/ameliorate their rippling effect over the social network.
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
Finally, we perform a qualitative error analysis of the misclassified memes of the best-performing text-based, image-based and multimodal models.
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection
So far, several studies have been performed to develop robust hate speech detection systems.
HateMM: A Multi-Modal Dataset for Hate Video Classification
Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world.
HateProof: Are Hateful Meme Detection Systems really Robust?
Empirically, we find a noticeable performance drop of as high as 10% in the macro-F1 score for certain attacks.
Hate Speech and Offensive Language Detection in Bengali
To overcome the existing research's limitations, in this study, we develop an annotated dataset of 10K Bengali posts consisting of 5K actual and 5K Romanized Bengali tweets.
Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments
The proliferation of online hate speech has necessitated the creation of algorithms which can detect toxicity.
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models
To enable more targeted diagnostic insights of such multilingual hate speech models, we introduce a set of functionalities for the purpose of evaluation.
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
In this paper, to bridge the gap, we demonstrate a large-scale analysis of multilingual abusive speech in Indic languages.
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
We explore several models to detect Troll memes in Tamil based on the shared task, "Troll Meme Classification in DravidianLangTech2022" at ACL-2022.
Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach
In this FIRE 2021 shared task - "HASOC- Abusive and Threatening language detection in Urdu" the organizers propose an abusive language detection dataset in Urdu along with threatening language detection.
Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages
Hate speech is considered to be one of the major issues currently plaguing online social media.
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
Hate speech is regarded as one of the crucial issues plaguing the online social media.
