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Found 6 papers, 2 papers with code
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF
Counterspeech, defined as a response to mitigate online hate speech, is increasingly used as a non-censorial solution.
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
Due to the complex and multifaceted nature of hate speech, utilizing multiple forms of counter-narratives with varying intents may be advantageous in different circumstances.
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification
In this work, we describe how we created the dataset, created annotations at high level and low level for different domains and how we use it to test the current state-of-the-art multilingual and multitask learning approaches.
Hatemongers ride on echo chambers to escalate hate speech diffusion
We analyze more than 32 million posts from over 6. 8 million users across three popular online social networks to investigate the interrelations between hateful behavior, information dissemination, and polarised organization mediated by echo chambers.
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture
In this paper, we present the Logically submissions to De-Factify 2 challenge (DE-FACTIFY 2023) on the task 1 of Multi-Modal Fact Checking.
Logically at Factify 2022: Multimodal Fact Verification
This paper describes our participant system for the multi-modal fact verification (Factify) challenge at AAAI 2022.
