A surprising amount of online activity lives in the awkward middle between “human” and “bot.”
A person writes ten posts on Sunday and schedules them for the week. A script watches an RSS feed and publishes links automatically, but the owner personally answers every reply. A customer-service system drafts responses that employees approve. A social account reposts material by rule until a human steps in during breaking news.
Which of those is the bot?
The binary starts failing as soon as humans use automation as a tool rather than surrendering the account completely.
Automation comes in degrees
At one end is ordinary manual use: a person decides what to say and presses the button each time.
Then come scheduling tools, templates, macros, automatic cross-posting, feed-driven publishing, generated drafts, moderation assistants, and scripts that perform narrow actions. Human control can remain substantial even while a large percentage of visible events are technically generated by software.
At the other end are autonomous systems that select content, generate text, decide when to publish, interact with users, and continue operating without routine human approval.
Those are different arrangements, but a detector watching timestamps and posting patterns may compress them into the same label.
Researchers have used the word cyborg for this middle category. A 2024 study, “Cyborgs for strategic communication on social media”, analyzed more than 3.1 million Twitter users from datasets related to the 2020 coronavirus pandemic and U.S. election. The authors described cyborg accounts as hybrids combining automated scripts with manual participation and identified accounts whose bot/human classifications changed across time windows.
The important point is not the exact number of cyborgs in that study. It is that mixed operation is measurable enough to deserve its own category.
A human may operate something that behaves like a bot
Consider a one-person news service. Software monitors twenty feeds, posts headlines automatically, and alerts the owner when someone replies. The owner then reads the conversation and responds personally.
Calling the account fully human ignores the automated publishing. Calling it fully bot ignores the human editorial decisions and conversation.
The same ambiguity appears with AI assistance. If a person asks a model for a draft, rewrites half of it, checks the facts, and publishes under their own name, the final text has machine involvement without being autonomously authored. If the system generates and publishes 5,000 posts without review, that is a very different production process.
Better labels describe control
Useful analysis can ask who selects the objective, who creates the content, who decides when to publish, whether a human reviews outputs, and whether the system can act independently after launch.
Those questions produce a spectrum of control rather than a theatrical courtroom verdict: HUMAN or BOT.
That matters for Dead Internet Theory because synthetic activity does not need to replace humans completely. Humans can multiply themselves through automation. One operator can create the visible output that once required a staff. A team can supervise hundreds of automated identities. A normal user can automate repetitive tasks without attempting to deceive anybody.
The future internet may be difficult to count precisely because the important unit is no longer “person or machine.”
Increasingly, it is person with machine.