August 13 – The integrity unit of Stats Perform has joined with Signify Group to launch a dedicated social media abuse monitoring service to the sport market.
Social media abuse in football in particular has grown significantly and is showing no sign of slowing down despite warnings, investigations and anti-discrimination campaigns. Stats Perform’s Integrity Unit and Signify will leveraging AI and Machine Learning to monitor and identify abuse in real-time.
The new service will be based around Signify’s Threat Matrix, a proprietary service that detects online abuse at scale.
Threat Matrix provides monitoring and analysis of millions of open source social media posts across multiple platforms. Service capabilities include images and emoji recognition, as well as keywords, phrases and a long list of abusive words, terms and profanities in multiple languages.
Carl Mergele, Stats Perform CEO, said: “Our Integrity work at Stats Perform focuses on the protection of sport and that includes athletes and other participants. Sports are under increasing pressure from fans and sponsors to demonstrate moral and social responsibility and our partnership with Signify Group will see the deployment of game-changing AI to protect players, athletes and officials from online racist, homophobic, sexist and other abuse. We are very proud to bring this offering to our clients and it blends perfectly with our approach to sport integrity and our wider ESG commitments.”
Stats Perform will open up its client database to the Threat Matrix system. Signify has already some experience of working with sports including Athletics, Basketball, Cricket and Football. They have run international Open Source investigations for FIFA and are working with some Premier League clubs.
Jonathan Hirshler, Signify CEO, said: “The combination of Stats Perform’s sports industry expertise and Threat Matrix’s bespoke AI powered proactive monitoring and analysis capabilities provides sports stakeholders with an industry leading solution to help protect their athletes and staff from online threat and discriminatory abuse.”
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