[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
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Updated
Sep 18, 2023 - Python
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Python wrapper for the Politifact REST API
Speaker2Credit - credibility vectors
Official Implementation for KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media (WWW'22 SocialNLP Workshop)
We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.
This is a project to create a database of statements with a Politifact score, and a multiple methods of identifying the statements. The client will send the server statements to be identified. The related chrome extension is here: https://github.com/aviboddu/MisinformationCheckerExtension
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