Riot aims to address approximately 3 billion annual player reports across LoL, VALORANT, and Wild Rift with automated detection and machine learning.

The Player Dynamics team at Riot Games deals with an obscene amount of in-game player reporting, but the developers plan to implement some new evaluation methods in their mainline titles to reduce the amount of chat abuse and in-game toxicity, especially between repeats. criminals

In an August 29 update on Player Dynamics, Riot said that in 2021 it averaged about 240 million reports across its game catalog, resulting in a yearly total of just under 3 billion. By his own estimates, if every Riot employee spent 365 days a year reviewing reports, each person would have to review “about six reports a minute to keep up.”

Resolving reports is not a simple process, according to the Player Dynamics team, which is focused exclusively on improving player experiences and reducing harmful ones. Many players report behavior that does not warrant punishment, and others submit “deliberately malicious” reports. Additionally, behaviors like intentional feeding and trolling are much harder to detect than voice/cleartext chat abuse and AFK behavior.

But Riot’s existing penalty systems and methods are working well. Riot reports that of all the players who received a report in 2021, less than 10 percent of them received another report within the calendar year.

With data received over the past two years, Riot’s Player Dynamics team has been able to develop new ways to assess player behavior. Automated speech evaluation is set to be added to VALORANT later this year, with each report it receives poised to improve its ability to detect disruptive voice communications. Investments in machine learning and the addition of multilingual support should improve automatic text evaluation, and the team is also expanding the zero-tolerance word list.

The Player Dynamics team is putting even more effort into targeting repeat offenders, chat-based offenders, feeders, AFKers, and pitchers, while also exploring options that would allow them to punish offenders in real time.

Many of these solutions and features should be implemented within the next year.

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