Harmfulness metrics in digital twins of social network rumors detection in cloud computing environment

Journal of Cloud Computing

Advances, Systems and Applications

Table 7 Experimental results of the RumourEval dataset under various rumor propagation scenarios

	MSE	Stance-F1	Stance-Accuracy	Stance-Precision	Stance-Recall	Sentiment-F1	Sentiment-Accuracy	Sentiment-Precision	Sentiment-Recall
Depth ≤ 3	0.158	0.61	0.753	0.583	0.647	0.802	0.923	0.771	0.843
Depth > 3	0.125	0.51	0.752	0.522	0.499	0.748	0.942	0.736	0.766
Width ≤ 12	0.139	0.573	0.693	0.56	0.595	0.714	0.907	0.707	0.725
Width > 12	0.13	0.528	0.7621	0.517	0.546	0.754	0.931	0.713	0.809
Words Num ≤ 12	0.097	0.554	0.703	0.55	0.562	0.783	0.922	0.801	0.766
Words Num > 12	0.102	0.458	0.767	0.455	0.465	0.703	0.952	0.666	0.756