Astroturfing
Masking the sponsors of a message to make it appear grassroots.
"Fake grass roots look real until you check who bought the seeds."
What is Astroturfing? Masking the sponsors of a message to make it appear grassroots. Astroturfing destroys trust once exposed.
A company funds fake customer reviews to create buzz.
Astroturfing destroys trust once exposed.
Verify the source of endorsements and testimonials.
Use the model. Pick the move.
Masking the sponsors of a message to make it appear grassroots. You've just seen this: A company funds fake customer reviews to create buzz. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Astroturfing
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Astroturfing can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Astroturfing most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Astroturfing?
- If we removed every payoff for Astroturfing, what behavior would replace it?
- Who benefits when Astroturfing persists — and who pays the cost?
- People defend the status quo using the language of astroturfing.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Astroturfing through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Astroturfing?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Astroturfing?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Astroturfing, your default mode network folds the experience into your ongoing story-of-self — which is why the same fact lands differently depending on who you think you are.
Self-referential thought, mind-wandering, narrative-of-self, mental time travel. Most of your waking thought is this network running scenarios about you, your status, your past, and your future.
See Default Mode in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
A group decides on a course of action that nobody actually wants, because everyone assumes others prefer it.
Power tends to corrupt, and absolute power corrupts absolutely.
We attribute our own actions to situations but others' actions to their character.
We favor people who are similar to us or who like us.
Sacrificing for others without expecting a personal reward.
Disagreement grows more extreme as the parties think more about the issue.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
Penalizing landowners for hosting endangered species turns biological assets into liabilities.
Tying institutional survival to graduate salaries forces schools to drop social-service programs.
Distaste for unequal payoffs — including when we'd benefit.
Contrast vivid future success with concrete present obstacles to drive action.
USPTO budget tied to grant fees encourages permissive examination.
Beliefs about reality shape the reality.
Small changes that are not noticeable can add up to a significant change.
Deflecting by pointing to the other side doing it too.
Individual productivity gains hide collective output degradation.
Behaviors spread through groups via observation and imitation.
Most biases are efficient heuristics misapplied.
Underlying data distribution changes over time.