Predicting the Type and Target of Offensive Posts in Social Media
Table 6: Results for offense target identification (level C). We report Precision (P), Recall (R), and F1 for each model/baseline on all classes (GRP, IND, OTH), and weighted averages. Macro-F1 is also listed (best in bold).
['[BOLD] Model', '[BOLD] GRP  [BOLD] P', '[BOLD] GRP  [BOLD] R', '[BOLD] GRP  [BOLD] F1', '[BOLD] IND  [BOLD] P', '[BOLD] IND  [BOLD] R', '[BOLD] IND  [BOLD] F1', '[BOLD] OTH  [BOLD] P', '[BOLD] OTH  [BOLD] R', '[BOLD] OTH  [BOLD] F1', '[BOLD] Weighted Average  [BOLD] P', '[BOLD] Weighted Average  [BOLD] R', '[BOLD] Weighted Average  [BOLD] F1', '[BOLD] F1 Macro']
Here the models were trained to distinguish between three targets: a group (GRP), an individual (IND), or others (OTH). We can see that all three models achieved similar results, far surpassing the random baselines, with a slight performance edge for the neural models.