Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
An Interpretable Joint Graphical Model for Fact-Checking From Crowds
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| joint PGM of stance, veracity and crowd labels vs independent LR models | PGM (variational and Gibbs) · Emergent offline stance accuracy / veracity Brier | accuracy, Brier | Helped |
| Gibbs sampling instead of variational inference (ablation) | PGM · Emergent claim veracity Brier | Brier score | Helped |
| on-demand crowd stance labels at run-time | PGM · Emergent online scenario | stance accuracy and veracity Brier | Helped |
| transfer stance classifier and model uncertainty jointly | PGM variational · Snopes veracity Brier | Brier score | Helped |
| add more journalist stance labels in training | PGM and baseline · Emergent offline | stance accuracy | Helped |
| show model explanation to users | PGM web tool · user study (23 students) | satisfaction: p = 0.058 | Helped |
| show model explanation to users | PGM web tool · user study (23 students) | trust: p = 0.138 | No clear effect |
| Gibbs sampling vs variational inference runtime (ablation) | PGM · Emergent | training time: 5 minutes -> about an hour | Hurt |
Closest papers by meaning
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