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You cannot reliably tell whether a news image or video was made with AI just by looking at it. Treat visual glitches and detector results as clues, then trace the media to its earliest available source, check its provenance if possible, and corroborate what it supposedly shows. If key facts remain uncertain, do not share the claim as fact.
Start by preserving the post and checking the claim
Before reacting or resharing, note the account, caption, date, claimed location, and where you saw the item. A startling image can be real but paired with a false caption, or an old image can be recirculated as if it shows a new event. The Associated Press advises readers not to share content they have not verified and warns that emotional reactions can be exploited (AP’s tips for identifying AI-generated false news).
Look for visual clues, but do not treat them as proof
Inspect the image or play the video carefully. In video, compare details across several frames rather than judging a single still. Possible warning signs include:
- Actions or physical interactions that look impossible or change inconsistently.
- Objects that appear, disappear, or alter shape between frames.
- Speech that does not match mouth movement.
- Distorted details, malformed text, or inconsistent lighting and shadows.
- An unnaturally polished look that does not fit the scene.
These signs justify further checks, but their absence does not authenticate the media. Generation quality improves, and obvious errors that once stood out are less frequent, as the AP explains.
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Trace the image or video to an earlier source
Search for where the media appeared before and whether its original context matches the current caption. Reverse image search can reveal older uses or an unrelated event. For a video, capture a representative frame and search that still. Look for the original account or photographer, an earlier upload, and reporting that identifies when and where the scene was recorded. Google also recommends reverse image search as part of verification (Gemini help: Verify AI-generated images, videos, and audio).
Check Content Credentials and metadata when you have the original
Content Credentials use cryptographically bound provenance assertions to record information such as a file’s origin, edits, and possible AI involvement, depending on the tools used. They can help answer how a file was made or changed; they cannot establish that the scene or the caption is true. C2PA explicitly distinguishes a record of provenance from a judgment about the truth of its contents (C2PA Content Credentials Explainer, Specification 2.2).
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If available, inspect the original file rather than a screenshot or repost. Credentials may be unavailable because support and adoption are optional, or because copying, screenshots, or editing removed access to the original provenance. C2PA cautions that absence alone should not create a two-tier trust system (C2PA explainer).
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Corroborate the event, not just the pixels
Check whether reputable news outlets, relevant official agencies, eyewitnesses, or other independent sources report the same event at the same place and time. Compare details such as weather, landmarks, and the sequence of events. A genuine photograph can still be presented with a false location or caption; conversely, a file’s AI provenance does not by itself prove that an accompanying claim is false. The AP recommends looking for multiple verified sources (AP’s verification tips).
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Use AI verification tools within their limits
Available checks inspect particular signals or workflows; none should be treated as a universal test for whether any image or video is AI-generated.
| Option | What it checks | How to interpret the result |
|---|---|---|
| Gemini verification | Google says signed-in users can check supported images, videos, and audio for SynthID and Content Credentials. Compatibility is limited to supported credential versions and products. See Google’s help page. | A result concerns supported signals, not every model or edit. No detected signal does not prove the media is genuine. |
| OpenAI verification | OpenAI’s public tool accepts image and audio files and checks for supported provenance signals associated with OpenAI tools. It is not described as a general-purpose detector for all synthetic media. See OpenAI’s verification page. | A positive signal suggests an association with OpenAI tools, but does not establish how the media was used or whether its claim is accurate. No signal may mean another provider was used, the signal was stripped or degraded, or the file predates signal support. |
| AP Verify | AP describes a newsroom dashboard combining tools such as reverse image search, frame-by-frame video analysis, social listening, and team collaboration. See AP’s announcement. | This is a newsroom workflow example; AP’s announcement does not establish it as a consumer product or provide a basis for ranking it against the other options. |
Google reported in 2026 that SynthID had watermarked over 100 billion images and videos and 60,000 years of audio across its generative media products, and that Gemini SynthID verification had been used 50 million times globally. These are company-reported deployment and usage figures, not independent measures of detection accuracy (Google’s 2026 announcement). The cited sources do not establish an independent, cross-provider accuracy benchmark, so a positive or negative tool result should be treated as one clue, not a verdict.
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Make a sharing decision based on what you can verify
- If the source, date, location, or event is corroborated, describe what reliable sources establish rather than inferring more from the image.
- If a provenance signal appears, use it to understand the file’s recorded history, not to settle whether its caption is truthful.
- If the claim remains unverified, hold off on sharing it as fact.
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