Goalhanger: over three million views, streams and downloads in 48 hours #pressrelease #podcasting https://podnews.net/press-release/goalhanger-iran
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Goalhanger: over three million views, streams and downloads in 48 hours #pressrelease #podcasting https://podnews.net/press-release/goalhanger-iran
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@samsethi @dave @james Spreaker has been collecting this for a while (as a true/false value for now, like we do), and they add an automatic disclaimer in the episode description.
If Spreaker also added AI disclosure to their RSS feeds using the same tag and attribute we use, then in terms of episode market share (Livewire stats, Feb 2026) we would already be at around 17% of all podcast episodes produced in a given month including AI disclosure. That is almost 1 out of 5 new episodes.
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@alberto @dave @james 100% agree but this is the first time I have seen any other company add an AI label. I come from the school of build it and ask for feedback. Now hopefully this topic will get more attention and with it a consensus on how we can tackle it together .
I have said the explicit tag is voluntary and so should the AI tag. The adoption will be low but it’s a start. However we can get AI to police AI and mark the transcript with a score which needs P2.0 agreement.
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@dave @alberto @james here is the user settings in TrueFans to let users block AI.
Excited to see RSS.com add this. But how do we standardise and formalise this.
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We enable podcasters to self label if their host(s) is AI. Not if the show used AI. We are working with PodToo to enable AI to measure the transcript of each episode and give it a score out of 100.
Today we let users filter out any content tagged AI bit with the AI ranking score, in the near future we will let them have a sliding scale so they can choose 30% 50% etc.
