English

Methods of Informational Trends Analytics and Fake News Detection on Twitter

Computation and Language 2022-04-12 v1 Artificial Intelligence Social and Information Networks
Authors: Bohdan M. Pavlyshenko
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Abstract

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.

Keywords

twitter news trend analysis fake news detection deep learning frequent itemsets association rules graph theory

Cite

@article{arxiv.2204.04891,
  title  = {Methods of Informational Trends Analytics and Fake News Detection on Twitter},
  author = {Bohdan M. Pavlyshenko},
  journal= {arXiv preprint arXiv:2204.04891},
  year   = {2022}
}

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