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Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks
Although pervasive spread of misinformation on social media platforms has become a pressing challenge, existing platform interventions have shown limited success in curbing its dissemination.
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
In this paper, we evaluate several state-of-the-art models with the specific focus of reducing model bias towards these commonly-attacked identity groups.
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