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Openai/6931d9f0-f58c-8003-82b6-5a006c8e9eb3
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==== - Possibility of hoax / fabrication + mimicry of official style. Because some pages exist on a “.gov” domain (or are displayed as if they do) doesn’t guarantee authenticity. It's possible for malicious or erroneous content — whether automatically generated or manually posted — to mimic official layout, metadata, and tone. Once published, that content can get mirrored, cached, or re-shared in ways that make it look real even if it was never legitimate or was later removed. ==== * Reality of “link rot,” removal, or wiping. Sometimes content is removed, or restricted, or altered after initial publication. If that happens quickly — especially in a controversial case — then large swathes of the public record can vanish while fragments remain (summaries, screenshots, mirror links). That can leave “ghost evidence.” * Media amplification of unverified claims. Secondary outlets may pick up a narrative before key verification steps are completed — sometimes based solely on “official-looking” statements or “FBI page” claims. If the base source is flawed or removed, the amplification creates distributed misinformation that feels “real.” * Inherent brittleness in AI + automated archives. The tools I and other LLMs use to fetch and validate sources are very far from perfect. They may fail to load dynamic content (videos, media-rich pages), fail to follow redirects, or fail to verify archives — and treat missing or broken pages as evidence of falsehood. That doesn’t mean the content was never there — but it means I can’t confirm it.
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