论文标题
在Twitter上的信息趋势分析和虚假新闻检测方法
Methods of Informational Trends Analytics and Fake News Detection on Twitter
论文作者
论文摘要
在本文中，已经考虑了在Twitter上分析新闻趋势的不同方法。为了进行分析和案例研究，已经研究了2022年俄罗斯入侵乌克兰引起的Twitter的信息趋势。已经分析了一种伪造新闻检测的深度学习方法。使用了频繁的项目集和关联规则理论，已经考虑了新闻趋势的图理论分析。
In the paper, different approaches for the analysis of news trends on Twitter has been considered. For the analysis and case study, informational trends on Twitter caused by Russian invasion of Ukraine in 2022 year have been studied. A deep learning approach for fake news detection has been analyzed. The use of the theory of frequent itemsets and association rules, graph theory for news trends analytics have been considered.
