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Listen Notes Tightens Podcast Database to Remove AI Spam and Fake Shows

Listen Notes is enhancing its podcast database with stricter moderation and anti-AI tools to prioritize authentic, human-created audio content.

Listen Notes has launched a refined approach to ensure its podcast directory remains both comprehensive and genuine. The service emphasizes “authentic, human‑created” audio content, pushing back against spammy or AI‑generated podcasts.

Staying Fresh: How Podcasts Get Added & Updated

To keep its library current, Listen Notes uses a multi‑pronged strategy: continuous automated crawlers scour the internet, podcasters can submit their shows directly, manual additions fill in gaps and hosting service partnerships help rapid ingestion via API. Episodes show up quickly – regularly within 15‑30 minutes after release – though feed changes or metadata revisions may take slightly longer.

Fighting Spam & Fake Audio

With synthetic voices and machine‑generated podcasts proliferating, Listen Notes is applying both tech and human moderation. It has built and released open‑source tools for detecting machine‑generated audio.

Each new submission is reviewed by people who ensure that the podcast is not AI-generated, spam or deceptive. It also provides a free dataset of removed AI‑fake podcasts to promote transparency.

Challenges Ahead

As tools for creating fake content improve, detecting them becomes harder. Listen Notes acknowledges this arms race and commits to ongoing innovation in moderation techniques.

For creators and listeners, this means better trust in what they submit or consume. The database aims to be a reliable place where authentic storytelling isn’t lost in a sea of synthetic noise.


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