  Online multiplayer games like League of Legends, Counter Strike, and
Skribbl.io create experiences through community interactions. Providing players
with the ability to interact with each other through multiple modes also opens
a Pandora box. Toxic behaviour and malicious players can ruin the experience,
reduce the player base and potentially harming the success of the game and the
studio. This article will give a brief overview of the challenges faced in
toxic content detection in terms of text, audio and image processing problems,
and behavioural toxicity. It also discusses the current practices in
company-directed and user-directed content detection and discuss the values and
limitations of automated content detection in the age of artificial
intelligence.
