Identifying Scientists on X
It is shown that accounts are able to classify as ’scientists’ and ’non-scientists’ on two different datasets, reaching an F1-Macro score of up to 0.87 using Random Forests with linguistic features and up to 0.89 using a DeBERTa model in an ensemble setup.
Philipp Meier, Katarina Boland, Laura Kallmeyer et al.
· Web Science Conference · 0 citations