On-Chain News Platform Launches with Human-AI Curation
A new on-chain news platform called Cjournal has launched, aiming to combine human and AI curation from over 300 sources. The platform plans to use a token-based system to reward readers for their engagement. This model represents an experiment in decentralized media and new incentive structures for news consumption.
- The platform operates on a dual-token system: $CJL serves as the governance token, allowing holders to vote on the platform's future direction, while $UCJL is a reward token earned by users for reading and commenting on articles. - Users can convert their earned $UCJL reward tokens into the tradable $CJL governance token at a fixed rate, providing a mechanism to monetize their engagement with the news. - The human-AI curation process involves a two-step system where articles from aggregated sources are first manually screened by human editors for quality and credibility. Following the initial screening, an on-chain algorithm sorts and prioritizes the content based on user interests. - Cjournal's governance model is designed to be decentralized, with major decisions about the platform's future intended to be made by the community of $CJL token holders through voting. - The "Read-to-Earn" model is central to the platform's design, aiming to create a more direct financial incentive for high-quality content consumption and user participation in the news ecosystem. - Unlike some earlier blockchain-based journalism projects like Civil, which focused on creating a marketplace for journalists, Cjournal's model is centered on rewarding the audience for their consumption and curation activities. - The platform's on-chain infrastructure is built on the BNB Smart Chain (BEP-20), with the official contract address for the $CJL token being publicly verifiable.
