How the AI-Powered GGWP System Helps Control, Handle Toxic Gamer Behavior in Terms of In-Chat Abuse

The problem with many online games today is that they result in bad player behavior, which can ruin the experience for all players involved.

Players are being talked about, who are behaving rudely to other players, according to an Ubergizmo report, "spamming them, doing things" that would make life in the game more challenging, exploiting flaws and bugs, among others.

Whereas many online games involve a "report" button, the truth is that at times, there are too many reports to manage and handle and not enough people to deal with, leaving most of the reported cases unattended. This is why many gamers and streamers have teamed up to develop artificial intelligence or AI system known as GGWP.

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(Photo: Pixabay)
A new artificial intelligence-powered system has been developed to control and handle toxic gamin behavior.

AI-Powered System

Led by Dennis Fong, who, some remember as one of the legendary Quake and Doom players Thresh, GGWP is described as an automated system that depends on AI to collect and organize player behavior in any online game. He said, implementing the system is simple as it is seemingly "a line of code."

This data produces an overall community health score, not t mention, breaking down the different toxic behaviors into various classifications.

The system can be applied to help designate reputation scores for players. Therefore, those who behave unfavorably get a lower score, while players who are helping get a higher score.

What developers are doing with this is up to them, although it is plausible that probably, they could lump players with bad reputations together, with those higher than average reputation are grouped to help make it a better general experience.

Controlling Gamer Behavior

GGWP is Fong's brainchild, along with Kun Gao, Crunchyroll founder, and Dr. George ng, data, and AI expert; it is also supported by the likes of the Innovation Fund of Sony, Riot Games, YouTube founder Steve Chen, and streamers like Pokimane, together with Emmett Shear and Kevin Lin, Twitch developers.

Engadget reported that Fong recently announced that GGWP, an AI-powered system collecting and organizing player-behavior data in any game, enables developers to deal with each incoming report with a mix of "automated responses in real-person reviews."

Once it gets introduced to a game, explained Fong, literally, "it's like a line of code," the GGWP API aggregates player data to produce a community health score and break down the toxicity types common to that title. After all, each game is a gross, snowflake, in terms of in-chat abuse.

The system can designate reputation scores, as well, to individual gamers, based on an AI-led assessment of reported matches, and a multifaceted understanding of the culture of every game as specified in a similar bog article from the From a Different World website.

Essentially, developers can assign responses to certain reputation scores, and even certain behaviors, warning players about a dip in their ratings or breaking out the ban hammer.

Related information about dealing with toxic behavior in video games is shown on Ray Pastore, Ph.D.'s YouTube video below:

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