Data reuse through temporal distortion and its impact on platform trust

Recently, there has been a growing pattern where previously published, legitimate reports are repackaged and redistributed as if they were real-time data, with only the context altered. This exploits a technical gap in traditional fact-checking systems, which can verify the authenticity of the source but often fail to validate the relationship between the original timestamp and the present moment. Strengthening log-based timestamp verification and metadata comparison is becoming essential to systematically assess the validity period of data. In this context, when analyzing such patterns with Oncastudy, do you think systems can evolve beyond simple authenticity checks to effectively filter content based on timeliness as well?