A face does a surprising amount of work in an online profile.
Add a photograph to a username and a thin account suddenly feels inhabited. Readers infer age, mood, style, maybe even personality. A realistic headshot can make a profile seem less like an entry in a database and more like a specific human being.
That shortcut worked reasonably well when producing a convincing portrait required access to an actual person or a skilled image editor. Generative image systems changed the cost.
A 2024 study by researchers at Indiana University examined fake social-media profiles using AI-generated faces and collected 1,420 accounts using GAN-created portraits. The researchers found those accounts participating in scams, spam, and coordinated amplification. Their paper, “Characteristics and prevalence of fake social media profiles with AI-generated faces”, estimated a lower bound of roughly 0.021% to 0.044% of active Twitter/X accounts in their sample using GAN-generated profile faces.
The percentage matters less than the mechanism. A synthetic portrait lets an operator manufacture the visual evidence of a person without borrowing a stock photograph or stealing somebody else’s selfie.
A photograph establishes appearance, not identity
Even a completely genuine photograph does not prove who controls an account. The person in the image may be the operator, a friend, a celebrity, a victim of identity theft, or somebody whose picture was copied from another site.
A generated photograph removes even that weak connection.
This is why spotting a synthetic face should be treated as evidence about the image, not a complete diagnosis of the account. Some fake accounts use real photographs. Some legitimate users use avatars, illustrations, masks, game characters, or generated artwork. An account with an AI face may be deceptive, openly fictional, experimental, or simply privacy-conscious.
The useful question is not “Does this face look real?” It is “What evidence connects this profile to the identity it claims?”
Identity has to be assembled from more than pixels
Useful evidence can include a long account history, links from an independently controlled website, consistent participation in a known community, verifiable work, cryptographic signatures, live interaction, or other people who can establish continuity over time.
None of those methods is perfect. A sophisticated fake can build history. Real people can be private. Pseudonymous users may deliberately avoid linking their legal names to public accounts.
That is precisely why the profile photograph should carry so little weight.
Synthetic faces matter because they automate one of the oldest trust cues on the web. They do not create fake people by themselves. They create something subtler: the appearance that a person has already been established, before any actual evidence of identity has been examined.