THE INTEL ANALYST ACADEMY
Professional Intelligence Training
Printable Lesson
Verifying Photos And Video Before You Cite Them
The Intel Analyst Academy · Lesson Notes
By the end of this lesson you will be able to take a photo or video from your inbox or feed and decide, using a documented process, how much weight it can carry. You will also be able to write that decision into a product in language the reader can act on.
This matters because imagery persuades in a way a paragraph of text does not. A striking clip gets forwarded, briefed and quoted before anyone asks where it came from. The analyst who asks is briefly unpopular and later correct.
Most people ask, "Is it fake?" That is one question, and rarely the most useful one. Imagery can fail in five separate ways, and a file can pass four of them:
The most common failure is not manipulation. It is genuine footage attached to the wrong event: a real fire, from a different year, in a different city. Nothing has been edited, so a tool that hunts for edits will pass it.
So treat the caption as a separate item to verify. "This shows X at Y on Z" is your hypothesis, and the file is evidence for or against it. List the alternatives before you start: genuine and correctly described, genuine but old, genuine but elsewhere, staged, edited, generated. The method in Analysis of Competing Hypotheses applies directly. Look for the evidence that separates one explanation from the others, not the evidence that fits your favourite.
Before you do anything clever, save what you have. Record the URL, the account name, the time you accessed it and, if you downloaded a file, its hash. Keep an unaltered original and work on copies. Digital Evidence Documentation covers this in more depth. The short version is that a verification you cannot reproduce is an opinion.
Then look for the earliest version. Reposts crop out watermarks, strip captions and lose resolution, so the original is usually the sharpest and most complete.
Assess the source as you would any human source, using the same standards for access, track record and motive. A person who has filmed local events for years is a different proposition from an anonymous aggregator. Imagery does not get a pass for being a picture. Where someone may have an interest in you finding the material, Denial and Deception: Spotting Indicators of Manipulation applies.
Once you know where the material first surfaced, test whether the image supports the claim. Geolocation and chronolocation work from what is visible, not from what the caption says.
For place, look at:
Compare these against satellite imagery, street-level imagery and maps. Match several features in the right spatial relationship. One matching church tower is a lead. Three features that sit correctly relative to each other is a match. GEOINT Fundamentals covers imagery interpretation in more depth.
For time, look at:
Keep a note of what you matched and what you could not. A location that matches on two features and conflicts on a third is not a match, and the conflict is the interesting part.
Metadata can include capture time, device model and sometimes coordinates. Most social platforms strip it on upload, so its absence tells you little. Its presence tells you little too, because free tools can edit it in seconds. Treat it as a lead to corroborate, never as proof.
For manipulation, look for:
Automated detection tools return scores. Treat a score as one weak input. These tools can be wrong in both directions and rarely explain themselves. Your strongest evidence is positive: independent corroboration of origin, place and time. A sound provenance chain outweighs any forensic score. If you cannot establish provenance, say so in the product. Do not fill the gap with a detector result.
This scenario is an illustration.
Priya works in a corporate security team. A client's travel manager forwards a video of smoke over a port terminal, captioned "Port of X, this morning, protesters set cargo on fire." The client wants to know whether to reroute shipments.
Priya saves the post with its URL and access time, and keeps a copy of the file. Reverse searches on keyframes turn up the same clip posted several months earlier by a different account, under a different caption. The older caption places it at a fuel depot in another city.
She does not take the older caption on trust either. A gate sign in the footage carries a company name she can only find at that depot. The ridgeline behind the smoke matches satellite imagery of the depot and does not match the port. Three features agree, and none conflicts.
Her write-up reads: "We assess with high confidence that this video does not show the reported event. It was published months before the claimed date, and the location matches a site in a different city. This finding does not tell us whether a fire occurred at the port. Reporting on that question is currently unverified."
The last two sentences matter. She has judged the file, not the event, and she has said so. Her confidence wording should follow the conventions in Estimative Language.
Before you cite any imagery, run this checklist:
Choose three public images or videos that circulated with a claim attached, on a topic in your own area of work. For each, build a one-page verification log with these headings:
Then hand one of the items, without your verdict, to a colleague and ask them to run the same process. Compare results. Where you disagree, find out why. The cause is usually a feature one of you missed or an assumption one of you never wrote down. That gap is what the log is meant to expose.
Continue your training
This lesson is part of The Intel Analyst Academy — professional intelligence analysis training built for analysts. Explore the full course library, structured learning paths, and practical tools at theintelanalystacademy.com.