Developing and Implementing a High-Authenticity Web Comment System Using Verifiable Credentials (VC) to Realize a 'Trusted Web' in the AI Era

Campus Create Co., Ltd. (Location: 1-5-1 Chofugaoka, Chofu, Tokyo; within the University of Electro-Communications; Representative Director: Megumi Takahashi), in cooperation with VESS Labs, Inc., has developed a high-authenticity web comment system using DID/VC (Verifiable Credentials) technology and has completed its implementation across four websites operated by the company.

Additionally, on March 11, 2026, the company filed a trademark application for the 'DeSci-Inspired Japan Model,' the conceptual model for this initiative (Application No.: 2026-026348). Moving forward, the company plans to expand this model to more websites to promote the social implementation of a 'trusted information infrastructure' required in the era of widespread AI.

■ Why a 'Trusted Web' is Needed Now

◆ The 'Problem of Information Authenticity' Brought by the Spread of Generative AI

With the rapid spread of generative AI such as ChatGPT, information on the web is exploding. In an era where anyone can instantly generate high-quality text, images, and videos, it has become harder than ever to judge 'who stated the information, from what position, and based on what evidence.'

As it becomes increasingly difficult to distinguish between AI-generated and human-written content, 'verifying the source' of information posted on websites has become one of the most critical issues for both information recipients and providers.

◆ 'Impersonation' and 'Lack of Reliability' in Comments and Reviews

Comments and reviews on websites and social media significantly influence product selection, service evaluation, and decision-making. However, issues such as defamation via anonymous comments, AI-generated fake reviews, and stealth marketing are undermining the fundamental reliability of these comments.

Comments where the 'speaker' is unknown are difficult to trust, even if they contain useful information, thereby lowering the quality of decision-making. There is a demand for a mechanism that allows recipients to verify the position, track record, and expertise of the person making the statement.

◆ The Need for a 'Chain of Trust' in Industrial and Scientific Information

The target areas of our web media—Physical AI, Warehouse DX, Inclusive Society, and Startup Global Expansion—are all fields where information directly impacts concrete decision-making for social implementation (product introduction, business judgment, policy formulation).

In such fields, clarity regarding 'which expert supports this information, from what position, and based on what evidence' exponentially increases the value of the information. Building an information infrastructure capable of forming a 'Trust Chain' is the new design principle required for websites in the AI era.

■ What are Verifiable Credentials (VC)?

Verifiable Credentials (VC) are a digital certification technology standardized by the W3C (World Wide Web Consortium). They describe 'who is certifying what to whom' in a cryptographically verifiable format, completing the entire process of issuance, holding, presentation, and verification digitally.

・Issuer: An organization or individual (university, company, certification body, etc.) that certifies qualifications, track records, or positions.

・Holder: An individual or organization (e.g., a comment poster) that receives and holds the certificate.

・Verifier: The party (e.g., a website or reader) that cryptographically verifies the authenticity of the presented VC.

・DID (Decentralized Identifier): A decentralized identifier using blockchain or similar technology, providing an ID system that does not depend on a specific central administrator.

By utilizing VCs, attribute information such as 'this person is a researcher at XX University' or 'this company has a track record in the △△ field' can be attached to comments and reviews on websites in a cryptographically verifiable form. Unlike anonymous comments, the speaker's position, expertise, and reliability become clear, allowing information recipients to evaluate and utilize information more appropriately.

■ Development in Cooperation with VESS Labs, Inc.