Kaitiaki uses artificial intelligence to detect attacks of cyberbullying, hate speech, stalking, on social networks, so that children and adults can use social networks in total security.
Phenomena, as analyzed by the European Community, in rapid rise and massive diffusion in all social classes, against individuals or groups, which feed hate, anti-Semitism, racism, disability, misogyny, homophobia, Islamophobia.
Kaitiaki, thanks to proprietary algorithms, analyzes texts and images, combining natural linguistic processing, psychometry and semantics. This allows Kaitiaki to interpret the intentions of the message author, according to 4 different applications:
K-SAFE, to detect anomalies and attacks on the social profiles of minors and to send alarm signals to parents.
K-EDU, educational application for schools, to make children aware of the hostile language they use in social media.
K-HATERS, to analyze particularly sensitive personal and / or company profiles – influencers, politicians, news papers, large mass market companies – to detect posts containing defamation, threats, hate and allow immediate management.
K-STALKERS, to detect attacks against women and to send an alarm in case of danger; to identify potentially dangerous users by assigning an aggression index to them; to collect evidence for possible legal actions in the simplest and automatic way.