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Trust Network, Blockchain and Evolution in Social Media to Build Trust and Prevent Fake News

机译:信任网络,区块链和社交媒体的演变以建立信任并防止虚假新闻

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Fake news on major social media platforms has real-world consequences on the sentiments of citizens. For instance, it has the power to influence the election results of a country. The problem statement is fake news detection and prevention on social media presents unique challenges that require novel algorithms. The research methodology is to implement current blockchain technology with advanced Artificial Intelligence in social media platform to prevent fake news. This study aims to provide a substantial review on implementing blockchain on social media in order to build public trust on credible news and prevent spread of fake news via social media. In particular, this paper provides the research problem and discusses state-of-the-art blockchain solutions and technical constraints as well as points out the future research direction in tackling the challenges.
机译:主要社交媒体平台上的虚假新闻会对公民的情绪产生现实影响。例如,它有权影响一个国家的选举结果。问题陈述是假新闻检测和社交媒体上的预防提出了独特的挑战,需要新颖的算法。研究方法是在社交媒体平台上利用先进的人工智能实施当前的区块链技术,以防止假新闻。这项研究旨在对在社交媒体上实施区块链进行实质性审查,以建立对可信新闻的公众信任并防止假新闻通过社交媒体传播。特别是,本文提供了研究问题并讨论了最新的区块链解决方案和技术约束,并指出了应对挑战的未来研究方向。

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