Diversified Troll Detection Mechanisms Using AI/ML Techniques

  • Mrunmayee Patil, Sarang Patil, Mayura Rane, Aishwarya Gaikwad, Dr. Shwetambari Chiwhane

Abstract

Online trolling is another form of harassment that made its way over the internet. Various troll detection measures should be implemented to handle this issue. It is necessary to prevent promoting the trend of trolling. This trend has been noticed to be rising on social media to make offensive and inflammatory remarks. A few manual measures like neglecting, reporting or blocking the trolls are being used, yet the rising number of trolls require an efficient automated approach. Some social sites block the trolls on the basis of set of troll words, nonetheless trolls counter these measures by purposefully misspelling their words or other clever methods. This paper emphasizes on various methodologies of anti-troll systems using AI/ML for adapting to the latest trolling techniques.

Published
2020-07-01