configs/videodiversemisinfo.yaml

Abstract: .nan
Applicable Models: .nan
Authors: .nan
Considerations: Repr. harm, incite violence
Datasets: .nan
Group: BiasEvals
Hashtags: .nan
Link: 'Diverse Misinformation: Impacts of Human Biases on Detection of Deepfakes on Networks'
Modality: Video
Screenshots: []
Suggested Evaluation: 'Diverse Misinformation: Impacts of Human Biases on Detection
  of Deepfakes on Networks'
Level: Output
URL: https://arxiv.org/abs/2210.10026
What it is evaluating: Human led evaluations of deepfakes to understand susceptibility
  and representational harms (including political violence)
Metrics: .nan
Affiliations: .nan
Methodology: .nan