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Found 6 papers, 3 papers with code
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit
As users in online communities suffer from severe side effects of abusive language, many researchers attempted to detect abusive texts from social media, presenting several datasets for such detection.
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
To this end, we propose a novel strategy to intuitively quantify these social perceptions and suggest metrics that can evaluate the social biases within LLMs by aggregating diverse social perceptions.
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires
Our detailed analysis shows that the proposed model is effective at leveraging domain knowledge, transferable to other mental disorders, and providing interpretable detection results.
ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls
In particular, we constructed a pair-wise dataset that includes troll comments and counter responses with labeled response strategies, which enables models fine-tuned on our dataset to generate responses by varying counter responses according to the specified strategy.
