Lesson 6 of 7 · about 15 minutes
Verifying Claims, Photos and Video
You'll be able to
- Run a reverse image search and read the results
- Read and interpret photo metadata, and know its limits
- Confirm where and when a photo or video was taken using landmarks, signs and shadows
- Set up a habit of watching sources with the OSINT Monitor
Verification is the work of checking that something is what it claims to be before you repeat it. A claim gets checked against records and independent sources. A photo or video gets checked for where it came from, where it was taken, and when. Speed is the enemy. Most false images spread because people shared first and looked second.
Claims
The method for a claim is the one from the primary records lesson: go upstream to the original. Add one standard. Before you state something as fact, you want either a document that shows it or two independent sources who know it firsthand. Independent means they didn't get it from each other or from the same third person.
If you can't meet that standard but the claim matters, you can still report that someone made it. Say who, say what they base it on, and say what you couldn't confirm. "Commissioner Park said the contract was never put out for bid. The district had not provided bid records by Friday" is honest. "The contract was never put out for bid" is a fact you don't have yet.
Photos
Step 1: reverse image search
The most common fake photo is a real photo from somewhere else or some other year. A reverse image search finds earlier copies. Google lets you search with an image from the camera icon in the search box or by right-clicking an image in Chrome (Google help). Bing Visual Search works similarly. Try more than one engine, since they index different parts of the web.
Look for the earliest date. If the "storm this morning" photo shows up in a 2021 news story from another state, you're done. If you find nothing, that doesn't prove it's new. It means you move to the next step.
Tips that help:
- Crop to the most distinctive part (a building, a sign) and search again.
- Flip the image horizontally. Recyclers sometimes mirror photos to dodge matching.
- For video, grab a few still frames and search those. The free InVID-WeVerify plugin pulls keyframes and runs searches from them.
Step 2: metadata
Cameras and phones store data inside each photo, usually in a format called EXIF: date and time, camera model, settings, and often GPS coordinates. You can read it with ExifTool, a free program, or with many photo viewers under "properties" or "info."
Cautions before you trust it:
- Missing metadata proves nothing. Many social platforms and messaging apps strip most of it when a photo is uploaded. Ask the person who took it to send the original file by email or a file link.
- Metadata can be edited. It's easy to change. Treat it as one clue.
- Camera clocks are wrong all the time. Wrong time zone, never set, off by an hour after daylight saving.
Some images now carry Content Credentials, a signed record based on the C2PA standard showing what device or software made the image and what edits followed. You can upload a file to Content Credentials Verify to read it. Most images don't have credentials yet, and stripping them is easy, so absence tells you little. Presence is useful evidence.
The same caution runs the other way. Photos you take carry your own GPS location. Before you publish your own photos or send them to anyone, strip the metadata. AVPrep has a metadata strip feature for this.
Step 3: geolocation
Geolocation means finding where a photo was taken from what's visible. You're looking for things that don't move.
- Signs: store names, street signs, billboards, phone numbers with area codes.
- Buildings: distinctive rooflines, church steeples, water towers, grain bins.
- Terrain: the shape of a mountain ridge or a river bend.
- Road details: lane markings, highway signs, which side traffic drives on.
Then match them using map satellite views, street-level imagery and Google Earth. Line up two features that should sit in a certain relation, like a steeple to the left of a water tower, and see if a spot on the map produces that view. It's slow at first. You get faster.
Step 4: chronolocation
Working out when is harder. Clues: weather (was it actually snowing that day?), leaves on the trees, store signs that changed, a car model year, and shadows. SunCalc shows where the sun sits at any place, date and time, so you can check whether shadow length and direction match the claimed time.
Example: checking a video
A clip circulates showing a pickup driving through deep water, captioned "Cedar Fork Road right now, county won't close it."
- Keyframes run through reverse search: no earlier copies found.
- The poster says a friend sent it. You ask for the friend's contact and get the original file. Metadata shows yesterday at 5:48 p.m. with GPS coordinates.
- The coordinates land on a different road, two miles from Cedar Fork.
- A mile marker and a feed store sign in the clip match street-level imagery at those coordinates.
Result: real flooding, yesterday, on a different road. The video is genuine. The caption is wrong. Your story says so, and you call the county about both roads.
AI-generated images and audio
Generated images are now good enough that looking for six fingers isn't a reliable test. Treat a striking image with no traceable original source as unconfirmed, whatever it looks like. The workflow above still applies: find the first poster, ask for the original file, check for Content Credentials, and geolocate. A real scene can be found on a map. A generated one usually can't.
Watch sources before the story breaks
Much verification is easier if you've been watching the right sources all along. You'll know a photo is new if you saw the agency post about the flooding an hour earlier. OSINT Monitor collects public feeds into watch lists so you can keep an eye on agencies, news outlets and topics in one place, and pull up what was posted on a subject in a given time window.
Try it
- Take a photo on your phone outdoors near a landmark. Check its metadata with ExifTool or your photo viewer's info panel. Find the GPS coordinates.
- Strip the metadata with AVPrep and check again to confirm it's gone.
- Find a widely shared news photo from the past month. Run it through two reverse image search engines. Record the earliest date you find.
- Pick one landmark in that photo and find it on a satellite map.
- Set up a watch list in OSINT Monitor for one local agency and one topic you cover.
Checklist
- Claims confirmed by a document or two independent firsthand sources, or clearly attributed.
- Images reverse searched on more than one engine.
- Original file requested from the person who took it.
- Metadata read and treated as a clue, not proof.
- Location matched against maps. Time checked against shadows and weather.
- My own photos stripped of GPS before publishing.
Current: In the News
News coverage
- "Journalism Dean Works to Help Newsrooms Spot AI-Generated Fakes", University of Mississippi, April 13, 2026. Why detection tools work best combined with editorial judgment and source checks.
External resources
- "Authentication and Verification in the AI Age", Princeton CITP and NYU Carter Journalism Institute, August 2026. A newsroom guide that separates tracing where an item came from and confirming what it shows, with tool lists.
Check yourself
1. A dramatic flood photo is going around with the caption 'Main Street this morning.' What's the fastest first check?
Old photos recycled as new ones are the most common fake. A reverse search often finds the earlier appearance in seconds.
2. You download a photo from a social media post and find no metadata. What does that tell you?
Many platforms remove most metadata on upload. Missing data proves nothing. Ask the original photographer for the original file.
3. Which detail is most useful for geolocating a street photo?
Fixed features like signs, buildings and terrain can be matched against maps and street-level imagery.
4. Metadata says a photo was taken at 2:14 p.m. Shadows in it are very long and point east. What should you think?
The sun sets in the west, so long shadows pointing east mean low evening sun. Camera clocks are often wrong, and metadata can be edited.
5. A claim has one strong source. What's the standard before you publish it as fact?
Independent confirmation or a record turns a claim into a fact. If you can't get either, say whose claim it is.
Terms in this lesson
- Reverse image search
- Searching with an image instead of words to find where else it has appeared online.
- EXIF
- A metadata standard that cameras and phones use to store date, settings and sometimes GPS location inside a photo file.
- Geolocation
- Working out where a photo or video was taken from what's visible in it.
- Chronolocation
- Working out when a photo or video was taken, using shadows, weather and other clues.
- OSINT
- Open-source intelligence: information gathered from public sources such as websites, feeds, records and posts.
- Content Credentials
- A C2PA standard for attaching a signed record of how an image or video was made and edited.
Sources
- Google Search Help, Search with an image checked 2026-10
- Bing Visual Search checked 2026-10
- ExifTool by Phil Harvey checked 2026-10
- Content Credentials Verify checked 2026-10
- C2PA, Coalition for Content Provenance and Authenticity checked 2026-10
- InVID-WeVerify verification plugin checked 2026-10
- SunCalc, sun position and shadow tool checked 2026-10