Join the Web3 Rebels
Fixing Medical
Misinformation
Building the Trust Layer of Healthcare with Web3
As AI-generated medical content grows, so does the risk of misinformation. DocPunks uses Web3 technology to verify the authenticity of medical content—ensuring data is transparent, traceable, and trustworthy.
Verify
by DocPunks
We use open-source blockchain technology to help people check if online medical information is authentic — meaning it really came from a trusted doctor, researcher, or medical institution, and hasn’t been changed.
How it works
A doctor or certified medical expert creates or reviews a health article, post, or video.
That content gets a special digital “fingerprint,” similar to a unique barcode.
The doctor uses their verified professional identity to digitally sign that fingerprint.
That signature and fingerprint are then saved on a public blockchain — a permanent record that can’t be secretly changed or faked.
Later, when someone reads or watches the content, a simple badge can automatically check the blockchain to confirm:
Who verified it
When they verified it
Whether the verification is still valid or has been revoked
If the content was never signed, or if the signature doesn’t match a real medical expert, the system warns the reader that it might not be trustworthy.
Why this matters
Reduces fake health info: Helps cut down on misleading or dangerous medical content online.
Builds trust: Readers can instantly tell if something truly came from a doctor or medical organization.
Transparent: Every verification is recorded on a public, tamper-proof ledger.
Protects privacy: No patient data or private information is ever stored on the blockchain — only anonymous proofs and fingerprints.
Custom integration with
Bounties
by DocPunks
Community-Driven Medical Misinformation Bounties
DocPunks has a Bounty System that lets anyone help fight medical misinformation.
A user can start a bounty by describing a topic, claim, or piece of content they think might be wrong or misleading.
Other users can then look for examples of misinformation related to that bounty and submit what they find. Every submission is reviewed by licensed healthcare professionals in the DocPunks expert network.
If the experts confirm the information is inaccurate, the people who submitted it earn rewards. These rewards are tracked on a clear, transparent ledger so everyone gets proper credit.
Customers receive a detailed report that explains:
What misinformation was found
Professional, evidence-based explanations of why it’s incorrect
The possible harm it could cause
Clear recommendations on what to do next
This system creates a community where the public helps spot misinformation, medical experts verify it, and customers get useful insights to protect their audiences and communities.
© DocPunks 2025
Building the Trust Layer of Healthcare with Web3
As AI-generated medical content grows, so does the risk of misinformation. Although AI tools exist to scan for fake information, they can’t catch everything as advanced models increasingly mimic human behaviour. DocPunks uses Web3 technology to verify the authenticity of medical content—ensuring data is transparent, traceable, and trustworthy.
The internet is saturated with unreliable medical content —
and AI has only amplified the problem.
- A study cited by the European Parliament says that ~40 % of health-related links posted on social media contained medical fake news.
- A 2024 analysis of >67,000 TikTok videos compared nutrition content to public-health guidelines and found only 2.1% of the nutrition content was accurate. (Dublin City University).
- The internet is flooded with influencers offering medical advice despite having no medical training.
Verify
by DocPunks
We use open-source blockchain technology to help people check if online medical information is authentic — meaning it really came from a trusted doctor, researcher, or medical institution, and hasn’t been changed.
How it works
A doctor or certified medical expert creates or reviews a health article, post, or video.
That content gets a special digital “fingerprint,” similar to a unique barcode.
The doctor uses their verified professional identity to digitally sign that fingerprint.
That signature and fingerprint are then saved on a public blockchain — a permanent record that can’t be secretly changed or faked.
Later, when someone reads or watches the content, a simple badge can automatically check the blockchain to confirm:
Who verified it
When they verified it
Whether the verification is still valid or has been revoked
If the content was never signed, or if the signature doesn’t match a real medical expert, the system warns the reader that it might not be trustworthy.
Why this matters
Reduces fake health info: Helps cut down on misleading or dangerous medical content online.
Builds trust: Readers can instantly tell if something truly came from a doctor or medical organization.
Transparent: Every verification is recorded on a public, tamper-proof ledger.
Protects privacy: No patient data or private information is ever stored on the blockchain — only anonymous proofs and fingerprints.
Custom integration with
Bounties
by DocPunks
Community-Driven Medical Misinformation Bounties
DocPunks has a Bounty System that lets anyone help fight medical misinformation.
A user can start a bounty by describing a topic, claim, or piece of content they think might be wrong or misleading.
Other users can then look for examples of misinformation related to that bounty and submit what they find. Every submission is reviewed by licensed healthcare professionals in the DocPunks expert network.
If the experts confirm the information is inaccurate, the people who submitted it earn rewards. These rewards are tracked on a clear, transparent ledger so everyone gets proper credit.
Customers receive a detailed report that explains:
What misinformation was found
Professional, evidence-based explanations of why it’s incorrect
The possible harm it could cause
Clear recommendations on what to do next
This system creates a community where the public helps spot misinformation, medical experts verify it, and customers get useful insights to protect their audiences and communities.
Why AI alone is not enough
to stop misinformation?
Why AI alone is not enough
to stop misinformation?
AI detection is not perfect.
Advanced AI-generated content can:
a) Mimic human writing style.
b) Include real citations taken out of context.
c) Look polished and credible.
That’s why human healthcare experts & Web3 technology
are still essential for verification.
AI detection is not perfect.
Advanced AI-generated content can:
a) Mimic human writing style.
b) Include real citations taken out of context.
c) Look polished and credible.
That’s why human healthcare experts & Web3 technology
are still essential for verification.
© DocPunks 2025