Despite growing efforts to halt distasteful content on social media, multilingualism has added
a new dimension to this problem. The scarcity of resources makes the challenge even
greater when it comes to low-resource languages. This work focuses on providing a novel
method for abusive content detection in multiple low-resource Indic languages. Our
observation indicates that a post's tendency to attract abusive comments, as well as features
such as user history and social context, significantly aid in the detection of abusive content …