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Understanding the source of what we see and hear online

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Today we’re introducing new technology to help researchers identify content created by our tools and joining the Coalition for Content Provenance and Authenticity Steering Committee to promote industry standards.

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arXiv AI
Sep 4

Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty

The paper introduces Provenance Density, an interface that visualizes the density of verified claims within a text to counter the Fluency Trap—where users mistake fluent AI-generated hallucinations for truth. In a study with 81 participants, the interface significantly improved users’ ability to distinguish true from fabricated content, while no signal led to no discernment. A technical audit of 200 samples revealed that retrieval density alone is insufficient, and that the Consistency Veto provides most of the discriminative power for dynamic queries.

By Qing Zhang, Yifei Huang, Juyoung Lee, Thad Starner, Jun Rekimoto