Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (11): 3458-3464.DOI: 10.11772/j.issn.1001-9081.2021111885

• 2021 CCF China Blockchain Conference (CCF CBCC 2021) • Previous Articles    

Fake news detection method based on blockchain technology

Shengjia GONG1, Linlin ZHANG1,2(), Kai ZHAO1,2, Juntao LIU1, Han YANG1   

  1. 1.School of Information Science and Engineering,Xinjiang University,Urumqi Xinjiang 830046,China
    2.School of Cyber Science and Engineering,Xinjiang University,Urumqi Xinjiang 830046,China
  • Received:2021-11-08 Revised:2021-11-19 Accepted:2021-12-06 Online:2021-12-31 Published:2022-11-10
  • Contact: Linlin ZHANG
  • About author:GONG Shengjia, born in 1996, M. S. candidate. His research interests include blockchain.
    ZHANG Linlin, born in 1974, Ph. D., associate professor. Her research interests include blockchain, big data analysis.
    ZHAO Kai, born in 1976, Ph. D., associate professor. His research interests include malicious code detection, cloud computing security.
    LIU Juntao, born in 1996, M. S. candidate. His research interests include blockchain.
    YANG Han, born in 1998, M. S. candidate. His research interests include blockchain.
  • Supported by:
    National Natural Science Foundation of China(12061071);Natural Science Foundation of Xinjiang Uygur Autonomous Region(2019D01C062)

基于区块链技术的虚假新闻检测方法

龚胜佳1, 张琳琳1,2(), 赵楷1,2, 刘军涛1, 杨涵1   

  1. 1.新疆大学 信息科学与工程学院,乌鲁木齐 830046
    2.新疆大学 网络空间安全学院,乌鲁木齐 830046
  • 通讯作者: 张琳琳
  • 作者简介:龚胜佳(1996—),男,湖北天门人,硕士研究生,CCF会员,主要研究方向:区块链
    张琳琳(1974—),女(蒙古族),河南镇平人,副教授,博士,主要研究方向:区块链、大数据分析 zllnadasha@xju.edu.cn
    赵楷(1976—),男,安徽肥东人,副教授,博士,主要研究方向:恶意代码检测、云计算安全
    刘军涛(1996—),男,山东临沂人,硕士研究生,主要研究方向:区块链
    杨涵(1998—),男,吉林延边人,硕士研究生,主要研究方向:区块链。
  • 基金资助:
    国家自然科学基金资助项目(12061071);新疆维吾尔自治区创新环境(人才、基地)建设专项—自然科学计划(自然科学基金)(2019D01C062)

Abstract:

Fake news not only leads to misconceptions and damages people's right to know the truth, but also reduces the credibility of news websites. In view of the occurrence of fake news in news websites, a fake news detection method based on blockchain technology was proposed. Firstly, the smart contract was invoked to randomly assign reviewers for the news for determining the authenticity of the news. Then, the credibility of the review results was improved by adjusting the number of reviewers and ensuring the number of effective reviewers. At the same time, the incentive mechanism was designed with rewards distributed according to the reviewers' behaviors, and the reviewers' behaviors and rewards were analyzed by game theory. In order to gain the maximum benefit, the reviewers' behaviors should be honest. An auditing mechanism was designed to detect malicious reviewers to improve system security. Finally, a simple blockchain fake news detection system was implemented by using Ethereum smart contract and simulated for fake news detection, and the results show that the accuracy of news authenticity detection of the proposed method reaches 95%, indicating that the proposed method can effectively prevent the release of fake news.

Key words: blockchain, smart contract, fake news, news website, game theory

摘要:

虚假新闻不仅会导致人们形成错误观念,损害人们的知情权,还会降低新闻网站公信力。针对新闻网站出现虚假新闻的问题,提出一种基于区块链技术的虚假新闻检测方法。首先,通过调用智能合约为新闻随机分配审核者来判定新闻的真实性。然后,调整审核者数量以确保有效审核者的数量,提高审核结果的可信度。同时设计激励机制,根据审核者的行为分配奖励,并运用博弈论分析审核者的行为和获得的奖励,为了获得最大利益,审核者的行为必须是诚实的。而后设计审计机制检测恶意的审核者,以提高系统的安全性。最后,利用以太坊智能合约实现了一个简易的区块链虚假新闻检测系统,并对虚假新闻检测进行了仿真,结果显示所提方法的新闻真实性检测的准确率达到了95%,表明该方法可有效防止虚假新闻的发布。

关键词: 区块链, 智能合约, 虚假新闻, 新闻网站, 博弈论

CLC Number: