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Decoding Online Abuse in Sport
Global Player Unions FIFPRO, NBPA and WNBPA teamed up with Signify to publish a unique study covering online abuse targeting stars of world football and basketball. This was followed by World Football’s Governing body FIFA who have also released a Signify study looking at abuse directed at players at two international finals. Both studies reveal disturbing levels of online abuse.
Signify is an ethical data science company. We use machine learning and open source data to find out what people care most about.
We help our clients make better decisions based on the best available data and insights.
Latest from Signify
Better Data.
ShareScore.
Applying machine learning to media coverage and social buzz to find the stories that really matter to your audience.
Audience Radar.
Consumer insights combining machine learning, semantics, psychographics, influence networks + media tastes.
Online Forensics.
Protect your team and foster innovation by defining ethical frameworks and responsibilities and writing a data roadmap.
Threat Matrix.
Using Machine Learning to detect and illuminate abuse across social media, protecting athletes, clubs + brands.
Threat Matrix is a proprietary service developed by Signify. Using machine learning and augmented intelligence to scan incoming messages on social media, we are able to detect, identify and evidence abuse (whether racist, or personal) along with the antagonists behind it. Repeat offenders are reported to authorities and social media platforms.