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Found 4 papers, 3 papers with code
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Large language models trained on a mixture of NLP tasks that are converted into a text-to-text format using prompts, can generalize into novel forms of language and handle novel tasks.
Challenges in Measuring Bias via Open-Ended Language Generation
Researchers have devised numerous ways to quantify social biases vested in pretrained language models.
BU-NEmo: an Affective Dataset of Gun Violence News
As such, we introduce a U. S. gun violence news dataset that contains news headline and image pairings from 840 news articles with 15K high-quality, crowdsourced annotations on emotional responses to the news pairings.
OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data
We propose and guide users through a five-step end-to-end computational framing analysis framework grounded in media framing theory in communication research.
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