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Found 9 papers, 5 papers with code
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
Despite the widespread adoption, there is a lack of research into how various critical aspects of pretrained language models (PLMs) affect their performance in hate speech detection.
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection
As hate speech continues to proliferate on the web, it is becoming increasingly important to develop computational methods to mitigate it.
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Speech Detection
Although pre-trained large language models (PLMs) have achieved state-of-the-art on many NLP tasks, they lack understanding of subtle expressions of implicit hate speech.
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
Our proposed solution HEN-mBERT is a modular, multilingual, mixture-of-experts model that enriches the linguistic subspace with latent endogenous signals from history, topology, and exemplars.
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons.
Handling Bias in Toxic Speech Detection: A Survey
While reducing toxicity on online platforms continues to be an active area of research, a systematic study of various biases and their mitigation strategies will help the research community produce robust and fair models.
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media
We discuss a series of our proposed solutions to limit the spread of hate speech on social media.
Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
One such research contribution came in the form of the Constraint@AAA12021 Shared Task on COVID19 Fake News Detection in English.
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter
Meanwhile, to predict the retweet dynamics on Twitter, we propose RETINA, a novel neural architecture that incorporates exogenous influence using scaled dot-product attention.
