Proof-of-Authenticity system
How weRate turns real experiences into trustable signals using a flexible, non-intrusive authenticity system that grades contributions instead of forcing them.
💡 A new foundation for trust
Traditional review platforms assume authenticity. weRate measures it.
Every contribution (a review, photo, or check-in) is evaluated through a set of authenticity signals. These signals form a Trust Score, a dynamic grading system that reflects how connected a review is to a real human experience.
Users aren’t forced into any specific action. They simply choose how much authenticity they want to provide, and the system recognises it.
Trust is not treated as binary. It is progressive, transparent, and earned.
📍 Proof of location
Presence is one of the strongest authenticity signals. weRate can validate it through several optional inputs, such as:
A verified check-in at the venue
GPS confirmation
A photo with embedded location metadata
Time-based triangulation (check-in, photo, receipt)
AI-powered consistency checks to detect spoofed locations or synthetic images
These signals are optional. If users provide them, the review becomes more trustworthy. If not, the review simply carries fewer trust points.
🪪 Proof of personhood
Authentic reviews come from real people, not bots or farms.
weRate lightly validates identity without invading privacy, using signals like:
Device and behaviour consistency
Phone number confirmation
Optional wallet-based identity linking (e.g., Solana address)
This ensures reviews come from genuine, unique contributors while keeping personal data private.
🧾 Proof of purchase
For venues where it matters users can optionally add:
A receipt photo
A bill snippet
A payment confirmation
Receipts dramatically increase trust, but remain fully optional. weRate rewards authenticity; it does not require it.
🧠 Behavioural authenticity
Real behaviour leaves natural patterns. weRate strengthens trust using signals like:
Frequency of visits
Review consistency
Time gaps between check-in and review
Realistic behaviour signatures
These patterns help surface genuine activity while reducing synthetic or coordinated behaviour.
🗂️ Context-rich contributions
Reviews carry context such as:
Date and time of visit
How often the user goes
Their discovery style
Whether they checked in
This transforms a simple comment into a meaningful insight rooted in real experiences.
🧩 The Trust Score: authenticity made visible
All authenticity signals feed into a transparent Trust Score that:
Grades authenticity
Is visible to readers
Unlocks better rewards for contributors
Elevates reliable recommendations
Reduces the impact of fake or low-effort content
Users are never punished for sharing fewer signals. They simply earn more when they provide more proof.
🌟 Why this matters
The internet is drowning in synthetic reviews, bots, and noise. People want to know what’s real — without becoming auditors.
weRate’s authenticity framework:
Gives readers confidence
Rewards contributors for real experiences
Helps businesses access credible feedback
Creates a transparent, human-verified discovery layer
weRate doesn’t force authenticity. It reveals it.
This is the foundation for trust in the real world.
Last updated