  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.
