| Popis: |
In recent decades, we have noticed a considerable increase in reports or confession posts of abuse victims on Twitter. Most of the time victims do not report it to their guardians or the concerned authorities. Teenagers and minorities are the most affected group of abuse. Part of these victims tweets about their incident to let go of pain and suffering or as a cry for help. Identifying such reports is challenging, to address such an important task. In this study, we define a new task, tweets reporting abuse classification task (TRACT), and construct a new dataset related to the online abuse reporting. A detailed comparison with existing supervised models and detailed error analysis explores the merit of our proposed model. |
