CARM: A Blockchain-based Content Quality Assessment and Rewarding Mechanism

Abstract

Content Quality Assessment and Rewarding mechanisms are posited as critical variables to improve content quality standards and compensate high-quality contributors. Content authenticity, quality, and relevancy appear to be among the more significant challenges with traditional content platforms. A novel trend in the technology space known as blockchain has been found to address these challenges. The consensus protocols associated with blockchain provide many benefits over traditional mechanisms on the frontiers of privacy, security, and decentralization. However, while these protocols provide consensus on rewards and transactions, they do not fully address content quality. More specifically, the issues around equal voting power are often not entirely consistent regarding voting weight. In this paper, a novel Content Quality Assessment and Rewarding Mechanisms (CARM) is proposed to address the variables of content quality. The system uses CQ Score, a Content Quality Assessment Framework via the Ethereum Blockchain and Smart Contracts to ensure that user variables such as completeness, authenticity, and relevancy are used to qualify content quality.