A Blockchain-based Framework for News Fine-grained Detection and Management

The development of the Internet has revolutionized the news industry. While bringing various advantages, it has also caused an overflow of fake and malicious news, which has damaged social and economic benefits. In recent years, new news detection schemes are constantly proposed. In the scheme based on artificial detection, blockchain has become an important infrastructure and tool. Because blockchain is open, transparent, tamper-resistant, and traceable, it has important use value in the scenario of artificial detection, which requires the consensus of multiple entities. However, most of the current blockchain-based solutions focus on ex-ante detection, and they do not implement fine-grained detection division. Obviously, one validator cannot detect the authenticity of all types of news, which leads to a reduction in the credibility of the detection results. In this paper, we propose a framework for news full lifecycle management. First, the news is matched with the professional validators through a fine-grained detection control strategy. Then, based on sealed bid auction and secret sharing technology, a Six-stage Submission Protocol is proposed, which places the validator's consensus process off-chain, saving transaction costs and ensuring the credibility of the detection results. We analyzed the cost and performance of the proposed framework, and the results proved its correctness and feasibility.