Happy Halloween! Today, Jon Foust and Brian Dorsey chat with Maria Laura Scuri of FACEIT about ways they are reducing toxicity in gaming. FACEIT is a competitive gaming platform that helps connect gamers and game competition and tournament organizers. In order to do this well, FACEIT has put a lot of energy into finding ways to keep the experience positive for everyone.
Because gaming toxicity can involve anything from verbal jabs to throwing a game, FACEIT uses a combination of data collecting programs and input from players to help identify toxic behavior. In identifying this behavior, FACEIT has to consider not only the literal words spoken or actions made, but the context around them. Is that player being rude to strangers or is he egging on a friend? The answer to this question could change the behavior from unacceptable to friendly banter. Using their own machine learning model, interactions are then given a score to determine how toxic the player was in that match.
The toxicity scores along with their program, Minerva, determine if any bans should be put on a player. FACEIT focuses on punishing player behavior, rather than the player themselves, in an effort to help players learn from the experience and change the way they interact with others in the future.
Maria’s advice to other companies looking to help reduce toxicity on their platforms is to know the context of the toxic event. Know how toxicity can express itself on your platform and find ways to deal with all of them. She also suggests tackling the issues of toxicity in small portions and celebrating the small wins! Her final piece of advice is to focus on criticizing the behavior of the user rather than attacking them personally.
Maria Laura Scuri
Maria is the Director of Business Intelligence at FACEIT, the leading competitive platform for online multiplayer games with over 15 million users. She joined FACEIT as part of the core team in 2013 as an intern assisting with everything from customer support to event management. Her passion for data, machine learning, and artificial intelligence saw her quickly rise through the ranks to her current position, leading the Business Intelligence and Data Science teams.
Maria works side by side with some of the biggest tech companies in the world including Google Cloud. She is the main lead on a number of projects including the inception of an Artificial Intelligence Admin to fight toxicity on the platform. Maria is responsible for implementing best practices around data visualization and tools that allow the FACEIT team to thrive, as well as sourcing and training new talent.
Maria is a huge video games fan. You can find her on League of Legends as “FACEIT Lulu” and on Steam as “Sephariel”.
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- Leave no database behind with Cloud SQL for SQL Server blog
- How to orchestrate Cloud Dataprep jobs using Cloud Composer blog
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Interview
- FACEIT site
- FACEIT blog
- FACEIT on Medium site
- Steam site
- Perspective API site
- BigQuery site
- Looker site
- Cloud Datalab site
- Jupyter Notebook site
- Cloud AI Platform site
- TensorFlow site
- Google Cloud Data Labeling site
- Google Translation site]
- Dealing with CS:GO Free to Play and Addressing Toxicity in Matches blog
- Revealing Minerva and addressing toxicity and abusive behaviour in matches blog
- One of Europe’s Largest Gaming Platforms is Tackling Toxicity with Machine Learning blog
- FACEIT And Google Partner To Use AI To Tackle In Game Toxicity article
- FACEIT implement Minerva, an AI to punish toxicity in CSGO blog
- FACEIT Takes On Toxicity With Machine Learning article
- Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games whitepaper
- Toxic Behavior in Online Games whitepaper
- A Look at Gaming Culture and Gaming Related Problems: From a Gamer’s Perspective whitepaper
- An Analysis of (Bad) Behavior in Online Video Games whitepaper
- Toxicity detection in multiplayer online games whitepaper
- Jon’s gaming info steam
- BattleNet: Syntax#11906
Question of the week
Where can you find us next?
FACEIT will be at Next London and GDC
Brian will be at Super Computing in Denver.
Jon will be at AnimeNYC, Kubecon in November and Google Kirkland and Montreal in December.
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