A comment thread with fifty replies looks busier than a comment thread with five.
That visual shortcut works only if “reply” is being used as a rough proxy for human attention. Once automated accounts can trigger other automated accounts, the relationship breaks down.
A bot can post. Another bot can detect the post and answer. The first bot can react to the answer. A moderation bot can add a warning. A link-preview bot can fetch the URL. A promotional account can repost the exchange somewhere else. The platform records activity at every step even if no human is watching in real time.
This is not merely theoretical.
A 2023 study in EPJ Data Science examined an experimental ecosystem of six social bots on Twitter. The researchers explicitly tracked bot-bot, bot-human, and human-bot interactions. They even used a mediator to manage timing partly because the bots could otherwise interact with one another simultaneously and risk violating platform spam rules. See Emergent local structures in an ecosystem of social bots and humans on Twitter.
The experiment found bot-to-bot exchanges were more mechanistic and less diverse than interactions involving humans. That distinction is exactly what raw activity counts hide.
A reply is an event, not proof of a person
To establish that a public exchange is genuinely bot-to-bot, researchers need more than the conversation looking repetitive.
Useful evidence can include known account ownership, source code, API behavior, posting schedules, platform labels, controlled experiments, or technical logs showing that automated systems generated both sides. Behavioral classifiers can help identify likely automation, but probability is not the same thing as proof.
That matters because humans repeat themselves too. People schedule posts. Communities use templates. Customer-service workers paste canned responses. An odd conversation is not automatically a machine conversation.
Volume can exceed attention
The deeper Dead Internet Theory question is what happens when machines generate activity primarily in response to other machines.
A thousand replies might represent a thousand people. They might represent one human operator controlling several tools. They might represent a handful of automated agents bouncing triggers around a network. The visible counter alone cannot tell us which population exists underneath it.
This does not mean public comment sections are secretly composed mostly of bots. That is a much larger claim requiring platform-specific evidence.
It means something narrower and measurable: online conversation volume and human participation are no longer interchangeable quantities.
The internet can be busy without anybody being particularly busy using it.