Multitask Learning for Blackmarket Tweet Detection
TABLE II: Performance of the competing methods.
['[BOLD] Method', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-Score']
However, the problem of detecting tweets that are posted to these blackmarket services has not been tackled before. The tweets submitted to blackmarket services are not necessarily spam or promotional tweets. As we observe in our data, there is some intersection between spammers and blackmarket users since spammers may also try to gain more appraisals by using these services. The best baseline is Spam Detector 2 which achieves an F1-score of 0.77.