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Table 4 Performance of the LR classifier (using a multi-layer approach) evaluated on different size classes on both the US (top rows) and the Italian (bottom rows) dataset

From: A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter

Size class

AUROC

Precision

Recall

F1-score

(US) [0,100)

0.87 ± 0.01

0.79 ± 0.01

0.77 ± 0.01

0.78 ± 0.01

(US) [100,1000)

0.93 ± 0.01

0.87 ± 0.01

0.87 ± 0.01

0.87 ± 0.01

(US) [1000,+∞)

0.94 ± 0.02

0.86 ± 0.05

0.86 ± 0.05

0.86 ± 0.05

(US) [0,+∞)

0.88 ± 0.01

0.81 ± 0.01

0.80 ± 0.01

0.80 ± 0.01

(IT) [0,100)

0.89 ± 0.06

0.81 ± 0.11

0.82 ± 0.11

0.81 ± 0.11

(IT) [100,1000)

0.86 ± 0.07

0.83 ± 0.08

0.78 ± 0.06

0.80 ± 0.06

(IT) [0,+∞)

0.90 ± 0.02

0.81 ± 0.05

0.81 ± 0.05

0.81 ± 0.05