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Spotting AI-Generated Images and Videos: A Practical Checklist

1Why Detection Is a Judgment, Not a Test2Visual Clues in AI-Generated Images3Visual Clues in AI-Generated Video4Context and Content Clues5Metadata and Provenance Signals6A Practical Checklist and Common Traps
Context and Content Clues

Does the claim survive a plausibility check?

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The flooded-street example is the whole point in miniature. The frame supports only that there was water on that street at some time. The date, the city, and the cause come entirely from the caption. If no independent report of that flood exists, the caption is asserting more than the image can carry, and that gap is the clue — whether or not the image is AI-generated. Notice this works even when the pixels are flawless, because you are checking the claim, not the rendering.
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Plausibility is a content check, not a pixel check: ask whether the depicted event, claim, or detail could actually occur, and whether the caption asserts more than the frame can support.

Three questions that do most of the work

  • Is the event physically and practically possible in the setting shown — weather, crowd density, equipment, time of day?
  • Does the caption match what the image actually shows, or does it add a cause, location, or date the frame does not contain?
  • Is the framing, lighting, or timing suspiciously convenient for something that is normally hard to capture?

Why red flags cluster

Missing original source, no date, no location, a caption that arrives with the file rather than the event, and a claim reported only by this one post are not independent. Each one removes a way to verify the others, so together they change how much weight the media deserves. A single missing date is weak; a missing date plus no source plus an extraordinary claim is a different situation.

Separating what you see from what you are told

A frame shows a flooded street with cars partly submerged. The caption says the flood happened yesterday in a named city. The frame supports "there was water on this street at some point." It does not support the date, the city, or the cause. If no independent report of that flood exists, the caption is doing work the image cannot do — and that gap is the clue, regardless of whether the image is AI-generated.

Plausibility checks fail in both directions. Real events are often poorly documented, oddly framed, or reported late, so an implausible-looking or under-sourced image can still be genuine. Treat these as reasons to slow down, not as verdicts.

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