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Deceased people’s simulated personas and posthumous online presence

The internet already contains enormous amounts of the dead.

Photographs remain on social networks. Email archives sit on old drives. Videos preserve voices and gestures. Blogs preserve habits of phrase. Text messages record private jokes and arguments. For a sufficiently documented person, those fragments can now be used to build a system that appears to continue the relationship.

Researchers use names such as griefbot, deadbot, and ghostbot for systems that simulate a deceased person using material left behind during life. A 2026 review in the Journal of Responsible Technology describes deadbots as chatbots whose behavior and appearance are based on a real person who has died. Another 2026 paper argues that consent should cover the creation, operation, and deletion of these systems as well as use of the deceased person’s image and personal information. See “Principles of consent and non-addiction in AI grief bots”.

The technology creates a peculiar kind of online presence: a person can stop producing new testimony while a representation of them continues producing new sentences.

The raw material is evidence; the reply is a simulation

A model trained or prompted with somebody’s letters, recordings, posts, and photographs may reproduce recognizable vocabulary and recurring opinions.

That does not mean the deceased person answered the new question.

The system is generating a response based on surviving material and its own model behavior. It may confidently address events that happened after the person’s death or combine fragments in ways the person never would have chosen.

That boundary matters for historical evidence. An original email is evidence that somebody wrote those words. A recording is evidence that they said something. A generated posthumous reply is evidence about the simulation and its source material, not direct testimony from the dead.

Consent becomes unusually complicated

Living users can stop using an AI product or object to how they are portrayed. A deceased person cannot correct a bad simulation.

Families may also disagree. One relative may experience a griefbot as comforting while another sees it as an unauthorized performance of somebody they loved. The underlying dataset can contain private material involving living people who never agreed to have their messages folded into a posthumous persona.

This is why recent scholarship emphasizes consent, labeling, control, and the ability to delete such systems.

Online population can outlive biological population

Posthumous personas expose a strange problem for any attempt to count “people” online.

An account can continue speaking after the human life that supposedly anchors it has ended. The replies may be interactive, personalized, and stylistically consistent enough to feel like continuing presence.

For Dead Internet Theory, that is more interesting than simply calling the account a bot.

The important distinction is temporal. The human being contributed the archive. The machine contributes the new speech.

A digital afterlife can preserve memory. It can also manufacture statements that look like memory continuing to talk. Those are two very different things, even when they occupy the same profile.