Factiverse supports transcription and analysis across multiple languages and is constantly expanding its language capabilities.
Yes, Factiverse can be integrated with broadcast systems via API. This includes newsroom automation tools, content management systems, and on-screen graphics workflows to support real-time fact-checking and alerts.
While Factiverse uses advanced NLP models to flag potentially misleading or controversial content, understanding nuanced intent like satire or sarcasm in live speech remains a developing area. It can signal such content for editorial review, but final judgment rests with the human team.
Factiverse can be configured to store transcripts, flagged content, and analysis logs, depending on your privacy settings and compliance requirements. Storage requests can be discussed in further detail throughout the engagement process.
Currently users can filter all claims by topics or keywords in the export analysis they are given. Adjusting the adjusting sensitivity levels for claim detection or choosing specific topics or sources to monitor continues to be a developing area.