Papers by Thomas Butler

1 papers
Hidden Biases in Unreliable News Detection Datasets (2021.eacl-main)

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Challenge: Recent studies show that automatic unreliable news detection models only use the article itself without resorting to fact-checking mechanisms.
Approach: They propose to use a simple model as a difficulty/bias probe instead of a complex one . they observe a significant drop in accuracy for all models tested in a clean split .
Outcome: The proposed model can achieve good performance by memorizing site-label mapping instead of modeling the real task.

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