GGWP is an AI-based software for analyzing toxic behavior in video games, a very promising initiative backed by famous people.
If online games offer a very different experience than offline games, they often suffer from the same problem – the bad behavior of some players. And it can completely ruin the experience for other players. We are talking about players who behave badly towards others, spam, harass, make life in the game impossible, exploit loopholes and other bugs, etc. Here is a very interesting beginning of the solution .
GGWP, AI-based software for analyzing toxic behavior in video games.
While many games have reporting features, sometimes there are too many reports to process and not enough people to handle, resulting in most cases going unnoticed. It was to address this issue that several gamers and streamers teamed up to develop an AI based system dubbed GGWP.
Led by Dennis Fong, who some might call the “King of Gamers”Thresh in Quake and Doom, the team conceived and developed GGWP as an AI-based automated system for capturing and organizing player behavior in any game, implementing the system would be easy, it would only be “one line of code.
Based on the data obtained, the system generates an overall assessment of the health of the population and helps to classify toxic behavior into various categories. The system can even be used to assign reputation points to players. Thus, those who misbehave have a lower score and those who help others have a high score.
A very promising initiative backed by big names
What developers do with the GGWP tool and this score, for example, is up to them. This may allow users with a bad reputation and/or a good server reputation to be grouped together to provide a better gaming experience.
GGWP is the result of a collaboration between Dennis Fong as well as Crunchyroll founder Kong Gao and data and AI expert Dr. George Ng. The project is backed by the Sony Innovation Foundation, Riot Games, YouTube co-founder Steve Chen, streamers like Pokimane, Twitch creators Emmet Shear and Kevin Lin, and more.