论文标题
加权准确性算法方法来抵消虚假新闻和虚假信息
Weighted Accuracy Algorithmic Approach In Counteracting Fake News And Disinformation
论文作者
论文摘要
随着世界越来越依赖互联网进行信息交流，一些过度热心的记者，黑客，博客，个人和组织倾向于通过为自己的议程污染虚假新闻，虚假信息和自命不凡的内容，从而滥用免费信息环境的礼物。因此，有必要以最严重的方式解决假新闻和虚假信息的问题。本文提出了一种通过约束机制进行假新闻检测和报告的方法，该机制利用了四种机器学习算法的加权精确度。
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.
