A social conversation changes depending on who you think is in the room.
People disclose differently to friends, strangers, employees, salespeople, moderators, and machines. That makes an undisclosed chatbot more than an efficiency trick. If it speaks under a human name, uses a human-looking profile, and participates without identifying itself as automated, the other person is making decisions with the wrong model of the conversation.
Research on chatbot disclosure shows that the distinction is not always obvious. A 2024 mixed-method study of disclosed and undisclosed customer-service chatbots found that 20 percent of participants in the experiment believed they had communicated with a human, despite the study setting and participants’ general familiarity with chatbots. The paper, “Understanding users’ responses to disclosed vs. undisclosed customer service chatbots”, also found that people relied on cues such as response speed, grammar, repetition, and conversational mistakes when deciding whether the other party was human.
Those clues are getting weaker as language models improve.
Source identity changes the meaning of a reply
Suppose an account says, “I had the same problem. Here is what worked for me.”
If a human wrote that sentence, it may describe experience. If a company chatbot generated it, the same sentence is a simulation of experience. The words can be identical while the evidentiary value is completely different.
That becomes more important in social spaces than in a clearly labeled support widget. A bot in a discussion group can appear to agree with a position, recommend a product, comfort another user, or describe a personal history it never lived.
The issue is not that machines are forbidden from participating. Automated accounts can be useful, entertaining, or welcome members of a community. The problem is source confusion.
Disclosure is information, not an exorcism
Labeling a chatbot does not magically prevent people from anthropomorphizing it. The same 2024 study found that disclosure did not eliminate the sense of social presence participants experienced.
That is fine. Humans anthropomorphize cars, pets, weather, and printers that refuse to work five minutes before a deadline.
Disclosure serves a simpler purpose: it tells participants what kind of entity is producing the messages.
That distinction is increasingly relevant as companion systems and character bots move into ordinary communication platforms. The U.S. Federal Trade Commission’s 2025 inquiry into AI companion chatbots specifically asked companies how they use disclosures and representations to inform users about chatbot features and risks.
For Dead Internet Theory, undisclosed social bots are a much stronger concern than bots as such. A transparent bot increases the amount of machine participation online. An undisclosed persona can increase the apparent human population of the conversation.
Those are not the same phenomenon.