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.

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📍 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.

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🪪 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.

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🧾 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.

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🧠 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.

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🗂️ 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.

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🧩 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.

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🌟 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.