User Perceptions and Trust of Explainable Machine Learning Fake News Detectors

By Jieun Shin, Sylvia M. Chan-Olmsted. 2022

Subfields: Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Robustness & Interpretability

1. Irene Solaiman
2. Su Lin Blodgett
3. Dylan Baker
4. Zeerak Talat
5. Marie-Therese Png
6. Yacine Jernite
7. William Agnew
8. Alexandra Sasha Luccioni

Citations in the corpus

• Evaluating the Social Impact of Generative AI Systems in Systems and Society (2023, background): “What to Evaluate Surveying trust can apply to trust in AI systems [184, 107] to output factual information, trust in researchers, developers, and organizations developing and deploying AI [143], mitigation and detection measures [222], and trust in overall media and how it is distributed [251].”