Table 6 Ablation analysis results across models for originally correct causal arrows. Note that the 1st experts’ proposal has the most negative values of all, meaning that removing those arrows individually produces less likely models.

From: Enhancing social science research on cyberbullying through human machine collaboration

Model

Removed arrow

\(\Delta\)LL

1st experts’

Age \(\rightarrow\) Hours_Internet

\(-\)14.19

Gender \(\rightarrow\) CB

\(-\)32.21

Age \(\rightarrow\) CB

\(-\)48.73

Hours_Internet \(\rightarrow\) CB

\(-\)51.94

Sexual_Orientation \(\rightarrow\) CB

\(-\)26.31

BS

Gender \(\rightarrow\) Family_Communication

\(-\)19.05

GTT

Gender \(\rightarrow\) Family_Communication

\(-\)19.05

NO TEARS

Age \(\rightarrow\) CB

\(-\)12.08

Hours_Internet \(\rightarrow\) CB

\(-\)15.53

Sexual_Orientation \(\rightarrow\) CB

\(-\)10.86