An empty comment section tells a visitor something.
Maybe nobody cared. Maybe nobody has arrived yet. Maybe the community is small. Whatever the explanation, zero replies are honest information about the current state of the conversation.
That makes emptiness tempting to fix.
A platform can generate a starter comment, a suggested question, or an apparent reaction so the next visitor does not feel like the first person walking into an empty room. Used transparently, that can be a design tool. Used without disclosure, it becomes simulated participation.
A 2026 Scientific Reports experiment on generative AI in social-media discussions tested interventions including AI-written conversation starters, comment assistance, feedback, and reply suggestions. Some tools increased activity, but the researchers also found tradeoffs involving perceived quality and authenticity. See The impact of generative AI on social media: an experimental study.
The important word there is experimental. Participants were studying AI-assisted discussion, not being tricked into believing synthetic participants were ordinary members of a live community.
Seeding changes what the room appears to contain
A genuine conversation starter can be simple: the platform itself posts a clearly labeled prompt asking visitors what they think.
A deceptive version looks different. Several apparently ordinary users arrive first. One asks a question. Another agrees. A third adds a mild disagreement. The exchange exists primarily to make later visitors believe people are already present and engaged.
That appearance matters because human beings use visible participation as social evidence. A thread with comments feels safer to enter than one with none. A product with discussion looks more noticed. A new community with chatter looks more established.
Generated comments can therefore manufacture not just text but social proof.
Disclosure changes the meaning
There is nothing inherently wrong with a machine starting a conversation.
A clearly labeled bot can welcome new users, post daily questions, summarize prior discussion, or keep a support forum organized. Nobody needs to mistake it for a stranger who independently wandered in and cared enough to comment.
The problem is the false inference created when synthetic comments are dressed as ordinary participation.
Ten generated comments do not equal ten interested people. They may represent one operator trying to overcome the cold-start problem of an empty community.
That distinction fits Dead Internet Theory almost perfectly. A page can look socially occupied while containing very little spontaneous human activity.
The useful question is not merely, “Was this comment generated?”
It is, “What does this comment ask me to believe about who is actually here?”