🔍Verifiable Review
Understanding where the reviews come from is the key.
In order to trust the reviews you see online, you have to know where they come from first.
For goods, reviews should come from the buyers; for restaurants, reviews should come from the customers; for apps, reviews should come from the users, etc.
But are those buyers/customers/users genuine on the current user reviews you read online? - We don't know.
The fundamental reason for so many fake reviews online is that there's no way for readers to verify whether the reviewer is a genuine buyer/customer/user. Readers can only trust the platform that marks the review as from a "verified" buyer/customer/user.
When readers can only trust a third party but cannot verify by themselves in any way, there will be fake & manipulated reviews generally exist without a doubt.
Deviews is going to solve this problem fundamentally with its "verifiable review".
How does the verifiable review work?
For writers: review eligibility based on on-chain data
As you can see, there's a "Review Eligibility" under the "Write Reviews" button. We have put some requirements for users to post reviews, gated by on-chain data verification.
Take the NFT BAYC, for example. Only hodlers of the asset are allowed to write a review on it. If you are not a hodler, you will not have the eligibility to review it.
We ask for a wallet sign to verify the writer's holdings. And we may also have some requirements like at least hodl for a minimum time or a minimum quantity. For some Dapps, DAOs, and Games, we may require the reviewer to have interacted with some specific smart contracts, hodling some specific identity or in-game NFTs.
For readers: verify the reviewer with one-click
In web3, with the new infrastructure(wallet, on-chain data) and new scenario(everything is digital-native and exist on-chain), it brings the potential to give the readers the power to verify where the reviews come from with one click.
With one click on the “verify” button, the reader will know whether it's a genuine hodler. Furthermore, Deviews will show his opinions parallel with his hodling history in a unified timeline. It will give an experience of reading an immutable history of the reviewer's opinion and behavior on-chain.
The verifiable parts are different for different topics according to its characteristic:
For NFTs and Coins, readers can verify the reviewer's hodling & history.
For Dapps, readers can verify the usage history. For example, in a review of a DEX, readers can verify the reviewer's trading history and cumulative volume.
For DAOs, readers can verify the DAO identity and in-DAO activity.
For Games, readers can verify the in-game hodlings and on-chain activity.
Furthermore, for some events in real life, readers can verify the reviewer's attendance with POAPs.
All the on-chain data for verification will be organized in a readable way that people can understand easily.
Shift the foundation of reviews: from human to math
When we scrutinize the traditional user review we find that: to trust a user review, we must first trust the user is genuine. To trust the user is genuine, we must first trust the review platform, which holds the monopolistic power to guarantee and verify the user's authenticity for us. To trust the platform, one must first trust the people running it.
A foundation relying on humans is the root cause of the fake review industry and the erosion of trust because humans will inevitably do evil.
Deviews is trying to shift the foundation of reviews from human to math. We use on-chain data & behavior to describe and define a reviewer. For example, for a review of a Dapp, every reader can easily verify if the reviewer is a long-term holder of the utility token and frequently interacts with the smart contract, and participates in governance.
You don't need to trust it's an authentic user first anymore. The reviewer's usage history of the Dapp, its holdings, and its behaviors related to the Dapp on the blockchain are inherently the objective truth guaranteed by math. It's a genuine user which is verifiable, rather than a "verified" user which you need to trust.
You also don't need to trust Deviews first, as we don't give any review a "verified" mark. We just help you understand where the reviews come from in a verifiable and easy way.
You can filter the reviews according to behaviors that you regard as more reliable, for example, hodl for more than a specific quantity, longer than a specific period, and interact with the smart contract more than specific times.
The trust of verifiable reviews is built on some definite behavior and truth on chain guaranteed by math, rather than unknowable humans.
The shift of the foundation from human to math will have a profound impact on how reivews work and how we build trust.
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