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Use several checks instead of looking for one “tell.” Pause to assess who sent the media, what it asks you to do, and whether the urgency makes sense. Then inspect the picture and sound for inconsistencies, trace the earliest source, compare the claim with independent reporting, and check provenance or Content Credentials when they are available. Automated detectors can add a signal, but current consumer tools are still developing and cannot establish authenticity alone.
If the content could cause financial, personal, safety, or reputational harm and you cannot verify it through a separate trusted channel, do not forward it. Preserve the original file or URL and document what you checked.
What is the safest way to check a suspicious video or voice message?
The safest process is layered: assess the message, analyse audio-visual details, authenticate the source and provenance, then make a deliberate sharing decision. A visual glitch, a detector score, or missing metadata is a clue—not proof—because ordinary compression, editing, and misleading context can affect genuine recordings.
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- Inspect the video. Check faces, edges, lighting, movement, backgrounds, and lip synchronisation.
- Listen critically. Compare speech rhythm, emotion, pitch, pauses, and ambient sound with the scene.
- Verify the source. Find the earliest posting, search distinctive claims, and compare reputable independent reports.
- Check provenance. Look for metadata or cryptographically signed Content Credentials, while recognising that platforms often remove them.
- Use detection services cautiously. Treat their output as one input, not a verdict, and avoid uploading sensitive material to an unknown service.
- Pause when evidence is incomplete. Confirm the claim through a trusted channel before sharing or acting on it.
How do I assess the message before examining the file?
Start with the social engineering around the media. Singapore’s Cyber Security Agency describes this as the first “A” in its 3A approach: assess the message. The surrounding request often reveals more risk than the recording itself.
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Check the sender’s identity
- Ask whether the account, phone number, or email address is really controlled by the person or organisation it claims to represent.
- Look for a familiar profile that has recently changed its name, photograph, language, or contact details.
- Do not treat a message from a friend or relative as automatically reliable; their account may be compromised or they may have forwarded an unverified clip.
Examine the requested action
Requests for money, passwords, one-time codes, confidential files, software downloads, or immediate forwarding deserve independent confirmation. So do messages that pressure you to keep a secret, bypass a normal approval process, or move a conversation to a new account. Contact the supposed sender using a telephone number, address book entry, or account that you already trust—not details supplied in the suspicious message.
Consider the stakes and timing
An unusual request made during a crisis, election, market event, emergency, or family emergency is designed to shorten your decision time. Separate the question “Could this recording be genuine?” from “Should I act before checking?” Even authentic media can be used to support a false request or an out-of-context claim.
What visual signs can indicate an AI-generated or manipulated video?
Watch the clip more than once, preferably at normal speed and then frame by frame. Look for several signs that occur together; any single artifact may come from a low-quality camera, a video call, re-encoding, or deliberate editing.
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- Uneven resolution, halos, or smearing around the cheeks, hairline, ears, glasses, or jaw.
- Skin texture or colour that changes abruptly between frames or does not match the neck and hands.
- Eyes that point in different directions, inconsistent reflections, or blinking that is unusually rare, frequent, or poorly timed.
- Facial expressions that do not fit the words, emotional situation, or movement of the rest of the body.
Compare speech with movement
Check whether mouth shapes track the spoken sounds. Lip-sync errors may appear as delayed consonants, a mouth that keeps moving after a sentence ends, or teeth and tongue details that flicker. A convincing dub can still be real footage with replaced audio, so a mismatch establishes manipulation of some kind—not necessarily a fully synthetic person.
Follow light, shadows, and reflections
Lighting should behave consistently across the face, clothing, objects, and background. Watch for a shadow that points in a different direction from other shadows, highlights that do not move with a glossy object, or eye reflections that disagree with the apparent light source. These checks work best on a clear, original-quality file; platform recompression can create blockiness and edge shimmer.
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Watch the body and the scene
- Head turns, hands, hair, jewellery, or clothing that warp, merge, or change shape between frames.
- Background lines, text, architecture, or patterns that bend, lose detail, or change when the subject moves.
- Motion that looks physically impossible, such as weightless hair, stiff shoulders, or a face that turns without corresponding neck and body movement.
- Objects that appear, disappear, or change position without a cut that explains the change.
These observations are warning signs rather than authentication. Sophisticated generation can avoid familiar artifacts, while genuine footage can contain odd frames from a dropped connection or aggressive compression.
What audio clues suggest a cloned or synthetic voice?
Listen with the video muted first, then compare the soundtrack with the visible environment. AI-generated or cloned speech may sound unusually flat or over-controlled, but poor microphones, noise suppression, a mobile call, or a non-native speaker can produce similar effects.
Evaluate delivery and phrasing
- Monotone pitch or an emotional tone that does not fit the words and situation.
- Choppy sentences, unnatural pauses, or breaths that occur at mechanically regular intervals.
- Odd emphasis, misplaced stress, or a sudden change in accent, speaking rate, or vocal age.
- Consonants and names that sound blurred, repeated, or pronounced differently from the alleged speaker’s normal usage.
Compare sound with the room
Background audio should respond plausibly to the location. A supposedly crowded room with no reverberation, a constant noise bed that ignores a moving camera, or footsteps and doors that do not align with visible actions can indicate replacement or compositing. Conversely, echo, clipping, and intermittent noise can be ordinary effects of a phone recording or network call.
Separate voice authenticity from claim authenticity
A real person’s voice can be edited to change meaning, and a genuine interview can be cut so that a statement loses its context. Even if the voice sounds authentic, verify who published the clip, when it was recorded, and whether the complete conversation is available.
How can I verify where a video or audio clip came from?
Source and context are as important as perceptual clues. Your goal is to locate the earliest reliable version and establish what happened before the copy reached you.
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Trace the earliest posting
- Record the message’s URL, account name, visible timestamp, caption, and any file name before content is deleted or edited.
- Open the profile that first appears to have posted it. Check its history, location, normal subject matter, and whether other accounts posted the same file earlier.
- Compare versions for different crops, captions, soundtracks, watermarks, or cuts. The earliest upload is not automatically truthful, but later copies may omit crucial context.
Search distinctive details
Search an unusual phrase, name, location, date, or alleged quotation in quotation marks where appropriate. Check the spelling of the domain and the publication date. Look for reporting from multiple reputable outlets or official organisations that reached the claim independently, rather than articles that all repeat one social post.
Use a clear frame for reverse search
Pause on a sharp, unobstructed frame and run it through a publicly available reverse-image-search service. Try more than one frame if the first result is poor; logos, subtitles, and faces can produce different matches. A match can reveal an older event, a different country, or a video with a changed caption. No match does not prove the clip is new or authentic.
Check the date and geography
Weather, clothing, building signs, sports schedules, and local time can expose a recycled clip. Compare the alleged location with maps or official announcements, and check whether the account existed when the event supposedly occurred. A genuine recording presented with a false date or location is a “cheapfake”—misleading manipulation that may require no generative AI.
What do metadata and Content Credentials tell me?
Metadata may record a device, creation time, editing program, or export history. Content Credentials can attach a signed record of origin and edits to media. When a valid signature survives intact, provenance can increase confidence because it documents how the file was produced or changed.
Understand what provenance can establish
Ask whether the credential is cryptographically signed, which organisation or tool signed it, and whether the chain covers the complete file. A record that says a camera created an image does not by itself prove what the camera was pointed at; provenance describes the file’s history, not the truth of every claim in the scene.
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Understand why missing metadata proves little
Legitimate files often lose metadata when someone takes a screenshot, downloads and re-uploads a clip, converts formats, or passes it through a platform that recompresses media. Therefore, an absent credential is not evidence that content is fake. NIST and international cyber agencies describe provenance, labels, watermarking, and detection as complementary controls rather than substitutes for one another.
Preserve the original when possible
Save the original URL or file without opening it in an editor that rewrites metadata. Keep a copy of the page, the account name, and the time you obtained it. If you need to report the material, provide the untouched copy and a separate note describing any conversions you made for viewing.
Can I trust an online deepfake detector?
Use a detector as a supplementary signal only. Singapore’s Cyber Security Agency characterises general-consumer detection tools as “nascent,” and no authoritative accuracy or prevalence figure supports treating a consumer score as a final decision.
Why detector results can fail
- False positives: compression, low light, screen recordings, unusual accents, and legitimate editing can resemble synthetic artifacts.
- False negatives: a detector may miss a new generation method, a short clip, an audio-only manipulation, or a file that has been re-encoded.
- Scope limits: a service trained for faces may not evaluate speech cloning, and a service that checks pixels may not check whether a real clip was presented out of context.
- Privacy exposure: uploading a private family recording, internal meeting, medical conversation, or identity document gives an unknown service a copy of sensitive material.
How to use one responsibly
Read what the service claims to analyse, whether it retains uploads, and whether results are reproducible. Record the file version and the tool’s output, then compare that output with source verification, context, provenance, and human review. Never use a single score to accuse a person, release money, or make a safety-critical decision.
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Choose the lightest method that matches the likely harm, then escalate when the consequences rise. The methods differ in what they can establish and in how easily they fail.
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| Method | What it can establish | Common failure modes | Privacy and effort |
|---|---|---|---|
| Source and context checks | Who posted the file, when it appeared, what was claimed, and whether independent reporting supports it | Deleted posts, impersonated accounts, coordinated reposting, or a genuine clip used with a false caption | Usually no upload required; quick for ordinary posts, slower for consequential claims |
| Perceptual audio-video inspection | Visible or audible anomalies that warrant further checking | Compression, screenshots, poor microphones, network calls, and sophisticated synthesis | Can be done locally; requires careful viewing and listening |
| Reverse-image search | Earlier copies, related scenes, and possible original context | No indexed match, cropped frames, new footage, or search results dominated by copies | Generally low privacy risk when using a public frame; repeat with several frames |
| Metadata and Content Credentials | Recorded origin and edit history when a signed, intact record exists | Metadata stripped by screenshots, downloads, re-encoding, or platform processing | Often quick and local; absence cannot authenticate or disprove a file |
| Automated detection | A model’s estimate that a file contains synthetic or manipulated patterns | False positives, false negatives, changing generation methods, and tools that analyse only one modality | May require uploading sensitive media; consumer capability remains developing |
| Independent human corroboration | Confirmation from the alleged speaker, organisation, newsroom, investigator, or other trusted authority | Slow responses, conflicting accounts, or authorities relying on the same unverified source | Best for high-impact claims; use a separate, pre-existing contact channel |
What should I do when I still cannot decide?
Make uncertainty itself part of the decision. If the content is merely interesting, wait until better evidence appears. If it requests money, credentials, secrecy, a download, or immediate action, do not comply while verification is incomplete.
For personal messages
- Do not forward the clip or add a caption that could amplify an unverified allegation.
- Contact the alleged speaker through a known number or account. Ask a question that an impostor cannot answer from the suspicious message, but do not disclose passwords or verification codes.
- Preserve the original URL or file, the sender details, and your notes about searches and checks.
For public posts
- Use the platform’s reporting route for impersonation, fraud, manipulated media, or coordinated abuse, selecting the closest available category.
- If the material involves threats, extortion, election interference, financial fraud, or immediate danger, notify the relevant authority or organisation as well as the platform.
- When warning others, describe the uncertainty and the verification steps rather than repeating the clip or embedding it.
For organisations
Include synthetic-media incidents in the incident-response plan. Define who can authorise payments or public statements, require call-back verification for unusual requests, preserve evidence, and give staff a separate reporting channel. A pre-agreed procedure prevents a convincing voice or video from bypassing normal controls during an emergency.
What is the difference between a deepfake and a cheapfake?
A deepfake uses machine-learning techniques to generate or alter audio, video, or both. A cheapfake is a less sophisticated manipulation—such as speeding up, slowing down, cropping, splicing, or presenting real media out of context—that can mislead without advanced AI. Both require the same source, date, context, and independent-corroboration checks.
What quick checklist can I use before forwarding media?
- Who sent it, and does the request fit that person or organisation?
- Is there urgency, secrecy, money, credentials, a download, or a demand to forward?
- Do faces, lips, eyes, shadows, reflections, bodies, and backgrounds remain physically consistent?
- Do pitch, pauses, emotion, pronunciation, reverberation, and background sounds fit the scene?
- Can I find an earlier source, a matching phrase, or independent reporting?
- Are credentials or metadata present, and could they have been removed by re-encoding?
- Am I relying on a detector score or on several independent signals?
- Have I confirmed the claim through a trusted channel before taking action?
- If uncertainty remains, have I chosen not to share it?
Frequently Asked Questions
Can a deepfake be audio-only, without any video?
Yes. Voice cloning can imitate a person over a phone call, voicemail, podcast segment, or voice note. Use the same identity and urgency checks as for video, and call the person back through a number you already trust rather than relying on the incoming audio.
Will taking a screenshot or screen recording help preserve evidence?
It can document what was displayed, but it usually removes the original file’s metadata and may reduce quality. Keep the original URL or downloaded file first, then make a screenshot as a separate record of the post, caption, and account.
How can I reverse-search a video on a phone?
Pause on a sharp frame, capture it without overlays where possible, and submit that still image to a public reverse-image-search service. Try several frames and search a distinctive spoken or written phrase separately, because one frame may be too new, cropped, or poorly indexed.
What if the alleged speaker confirms the clip but the context still seems wrong?
Confirmation of identity does not establish that the complete recording is unedited or accurately captioned. Ask for the original file, the full conversation, recording date and location, and an explanation of any cuts before treating a consequential claim as verified.
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