As the world is becoming more dependent on the internet for information exchange, some overzealous journalists, hackers, bloggers, individuals and organizations tend to abuse the gift of free information environment by polluting it with fake news, disinformation and pretentious content for their own agenda. Hence, there is the need to address the issue of fake news and disinformation with utmost seriousness. This paper proposes a methodology for fake news detection and reporting through a constraint mechanism that utilizes the combined weighted accuracies of four machine learning algorithms.
翻译:由于世界越来越依赖互联网进行信息交流,一些过于热心的记者、黑客、博客、个人和组织往往滥用自由信息环境的天赋,用假新闻、虚假信息和虚假内容来污染自由信息环境,使其成为他们自己的议程。因此,有必要最严肃地解决假新闻和虚假信息的问题。本文建议通过一种制约机制,利用四种机器学习算法的综合加权能力,采用假新闻探测和报告方法。