From: A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter
Size class | Metric | Quotes | Retweets | Mentions | Replies |
---|---|---|---|---|---|
[0,100) | AUROC | 0.75 ± 0.02 | 0.63 ± 0.02 | 0.75 ± 0.02 | 0.61 ± 0.02 |
Precision | 0.71 ± 0.02 | 0.59 ± 0.02 | 0.70 ± 0.02 | 0.60 ± 0.04 | |
Recall | 0.66 ± 0.01 | 0.55 ± 0.01 | 0.67 ± 0.01 | 0.54 ± 0.02 | |
F1-score | 0.66 ± 0.02 | 0.53 ± 0.02 | 0.68 ± 0.02 | 0.50 ± 0.06 | |
[100,1000) | AUROC | 0.81 ± 0.02 | 0.63 ± 0.02 | 0.81 ± 0.02 | 0.65 ± 0.03 |
Precision | 0.73 ± 0.02 | 0.61 ± 0.02 | 0.75 ± 0.02 | 0.65 ± 0.02 | |
Recall | 0.73 ± 0.02 | 0.60 ± 0.02 | 0.75 ± 0.02 | 0.62 ± 0.02 | |
F1-score | 0.73 ± 0.02 | 0.60 ± 0.02 | 0.75 ± 0.02 | 0.60 ± 0.02 | |
[1000,+∞) | AUROC | 0.85 ± 0.08 | 0.62 ± 0.08 | 0.84 ± 0.04 | 0.66 ± 0.06 |
Precision | 0.80 ± 0.08 | 0.61 ± 0.08 | 0.75 ± 0.06 | 0.61 ± 0.10 | |
Recall | 0.80 ± 0.08 | 0.60 ± 0.07 | 0.75 ± 0.06 | 0.59 ± 0.07 | |
F1-score | 0.79 ± 0.08 | 0.59 ± 0.08 | 0.75 ± 0.06 | 0.58 ± 0.09 | |
[0,+∞) | AUROC | 0.76 ± 0.01 | 0.62 ± 0.01 | 0.77 ± 0.01 | 0.59 ± 0.04 |
Precision | 0.70 ± 0.01 | 0.58 ± 0.01 | 0.73 ± 0.01 | 0.59 ± 0.05 | |
Recall | 0.69 ± 0.01 | 0.56 ± 0.01 | 0.71 ± 0.01 | 0.55 ± 0.03 | |
F1-score | 0.69 ± 0.01 | 0.53 ± 0.01 | 0.71 ± 0.01 | 0.52 ± 0.05 |