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Research Note

Synthetic Persona Classification Record

"AI influencer" is too broad to describe many public personas accurately. Classification should cover at least six independent questions.

Aug 4, 20262 min readBy Dalton Anderson

Synthetic Persona Classification Record

Classification dimensions

"AI influencer" is too broad to describe many public personas accurately. Classification should cover at least six independent questions.

DimensionQuestions
Media productionAre image, video, voice, or text captured, illustrated, composited, generated, or mixed?
OperationDoes a human write and approve every interaction, or does software generate or publish responses?
Character statusIs the persona fictional, an avatar for a disclosed person, a digital double, or presented as an independent real person?
RepresentationWho is authorized to speak, license likeness, and bind the persona commercially?
AutomationWhich decisions, messages, or publishing actions occur without case-by-case human approval?
Commercial roleIs the persona entertaining, endorsing, selling, collecting leads, or acting as a service interface?

A virtual influencer can be a fictional character operated by a human team with little generative automation. An AI influencer may use generated media or automated interaction. A digital human can be a visual interface without an influencer role. An avatar can represent a real person, a fictional character, or a user. A synthetic persona is the broadest useful term when several production and identity methods are combined.

Policy and disclosure evidence

The FTC's 2023 revised Endorsement Guides announcement says the revised definition of endorsement clarifies coverage of virtual influencers. YouTube's altered or synthetic content guidance focuses on realistic, meaningful alteration and gives examples involving another person's face or voice.

These sources do not create one universal label for every persona. Platform labels, advertising disclosures, intellectual-property permissions, labor arrangements, privacy rights, and audience expectations can overlap without being identical.

Safety boundary

Appearance cannot prove production method, automation, identity, authorization, or deception. Classification should rely on the creator's records, account disclosures, platform labels, contracts or licensing where available, provenance data, and corroborated public reporting. Do not identify a person or accuse an account based on visual artifacts.

Sources

Follow the evidence.

  1. support.google.com: 14328491support.google.com
  2. nature.com: s41586 023 06297 wnature.com
  3. solomonmg.github.io: bakshy 2015 exposuresolomonmg.github.io
  4. ftc.gov: federal trade commission announces updated advertising guides combat deceptive reviews endorsementsftc.gov
  5. FTC Disclosures 101ftc.gov
  6. support.google.com: 16533387support.google.com
  7. spec.c2pa.org: Explainerspec.c2pa.org
  8. youtu.be: GhR9NuCQwlMyoutu.be
  9. FTC Endorsement Guides questions and answersftc.gov
  10. support.google.com: 2801947support.google.com
  11. cor.inquirygroup.org: lateral reading and the nature of expertisecor.inquirygroup.org
  12. support.google.com: 6342839support.google.com
  13. newsroom.tiktok.com: how tiktok recommends videos for younewsroom.tiktok.com
  14. open.spotify.com: 6pC7h1LY88I1LnfvH6h4dvopen.spotify.com
  15. daltonanderson.ghost.io: ai influencers and the dangers of a filtered realitydaltonanderson.ghost.io