Practical guides for checking video sources, examining manipulation signals, and interpreting AI-related evidence without treating any single clue as proof.
Begin with the closest task, then follow related methods when one check is not enough.
Fake Instagram accounts cannot be identified reliably from one small profile photo, a low follower count, or an unfamiliar username. Start with the identity the account claims and the action it wants you to take. Compare its exact handle with an independent official source, check public history and image context, and pause any request for […]
Optical flow estimates apparent movement between images, usually represented by arrows or a field of two-dimensional vectors. It asks where an image feature appears to have moved from one frame to another. That is not the same as directly measuring an object’s three-dimensional movement, identifying its cause, or deciding whether the video depicts a true […]
Motion interpolation creates additional images between the frames already present in a video sequence. Those inserted frames can make playback look smoother or support a slowed-down edit, but they are estimates, not new camera observations. If you are inspecting unusual motion, the important distinction is whether you are seeing recorded material, an exported processed version, […]
Shutter angle expresses a video exposure as a portion of a frame interval. For ordinary regular capture, a larger angle gives each exposure more time; a smaller angle gives it less. At 25 frames per second, 180 degrees corresponds to 1/50 second. The setting helps explain motion blur, but a sharp or smeared frame cannot, […]
Social media bots are accounts or programs that automate parts of social interaction, such as posting, replying or sharing. Some provide useful, clearly disclosed services; others support spam or deceptive amplification. To assess an account, examine its stated purpose, public behavior and source relationships together. One repetitive phrase, unusual avatar or busy posting schedule is […]
Lens distortion changes how a camera maps a scene into an image, sometimes curving straight lines or altering proportions near the frame edge. Perspective is a different issue: camera position changes the relative appearance of objects at different distances. A close selfie, a wide group photograph, and a corrected architectural image can look unfamiliar for […]
The rolling shutter effect is a timing artifact: different parts of a frame are recorded at slightly different moments. When a subject or camera moves during that process, a straight pole can look slanted, a building can wobble, or a rotating object can acquire an unfamiliar shape. These appearances can occur in genuine recordings. They […]
Video fingerprinting creates a compact representation of a clip so a system can compare it with reference videos. Depending on the method, a match may survive some changes to the file or presentation. The result is evidence of shared content, not automatic proof of the original uploader, recording date, copyright ownership or truth of a […]
Perceptual hashing turns an image’s visual content into a compact fingerprint for approximate comparison. It can help retrieve near-duplicate copies even when their files differ, but a close match does not prove who made an image, what happened in the scene or whether it is authentic. Use the match to select evidence for review, not […]
