In today’s digital era, podcasts, social media, and online news platforms shape how millions consume information. While these channels democratize knowledge-sharing, they also carry a growing risk: misinformation spreading faster than ever.
High-profile cases—such as controversies around Joe Rogan’s interviews or popular influencers sharing questionable health advice—show how easily false claims can reach massive audiences. Once misinformation takes root, correcting it is far harder than preventing it in the first place.
At SciTrue, we believe the challenge isn’t just about catching bad actors—it’s about building tools that empower people to trust what they hear. Detecting misinformation at scale requires more than fact-checking after the fact; it demands proactive systems that can assess reliability in real-time.
This is why SciTrue is developing intelligent, transparent AI models that analyze claims and highlight credibility gaps, helping audiences, publishers, and platforms alike. Together, we can shift the media landscape toward one where trust and truth lead the conversation.