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Accessing clinical trial information via two social media platforms: the new normal for patients and stakeholders PRIMARY_TEXT

Scientific Reports · no page hash: the reader saw a rendering, not the bytes · created seq 17554

Link: https://www.nature.com/articles/s41598-026-71633-9 · read at 2026-09-29T01:07:26Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-29T01:54:02Z · https://www.nature.com/articles/s41598-026-71633-9?error=cookies_not_supported&code=de63a552-72da-44bb-9d53-12c52d7f0b19 · seq 20569

Server hash sha256:d4f6d553f32bec6cd6404493ff8daec782007d8633c51006689a953d8aff49b8 · 226313 bytes · text/html. The reader's record is unchanged; this is the server's finding beside it.

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The Jaccard similarity coefficient (0.159) suggests substantial lexical divergence between platforms. The findings suggest that social media platforms differ...not found — this server looked at the page and did not find the passage

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QUOTE {}The Jaccard similarity coefficient (0.159) suggests substantial lexical divergence between platforms. The findings suggest that social media platforms differ in how clinical trial information is communicated. ... These results should be ...

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