Abstract

In this digital era, one major concern is not knowing what news to believe and not to believe. With the ever-growing progress being made in social media and technology, the problem has become more prominent. This also played a very important role in spreading fake information in this pandemic, creating chaos and worry throughout the world. Through the paper, I propose to understand and analyze the underlying writing style that can help in detecting fake news before it can be published, using a style-based approach in detection. An ensemble machine learning classification model was tried out to detect fake news.

中文翻译：

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使用 Pos 标记和机器学习检测假新闻

摘要

在这个数字时代，一个主要问题是不知道什么新闻该相信，什么不该相信。随着社交媒体和技术的不断进步，这个问题变得更加突出。这也在这次疫情中传播虚假信息起到了非常重要的作用，在世界范围内造成了混乱和担忧。通过本文，我建议使用基于风格的检测方法来理解和分析有助于在发布之前检测假新闻的基本写作风格。尝试了一种集成机器学习分类模型来检测假新闻。