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Application Research of Fake News and Rumors Detection in Complex Network Environment

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  • Meng-Zhe Huang
  • Rong-Wang Yin
  • Tabasam Rashid

Abstract

Nowadays, the network environment is very complicated, and so is the information transmission in the network. False news and rumors have become a big problem in the network environment. How to detect the effective information content in the complex network environment? Interest in effective detection techniques has also grown rapidly in recent years. There is an urgent need to develop effective tools to address this challenge by employing advanced Artificial Intelligence (AI) technologies. In this article, we analyze and study the current state of fake news and rumors in the complex network environment, summarize different methods of detecting fake news and rumors, and point out the important directions for the application of intelligent models in the detection of false information sources. The main purpose is to show possible solutions on the one hand, and on the other hand to determine the main challenges and methodological inadequacy to stimulate future research.

Suggested Citation

  • Meng-Zhe Huang & Rong-Wang Yin & Tabasam Rashid, 2022. "Application Research of Fake News and Rumors Detection in Complex Network Environment," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-6, April.
    • Handle: RePEc:hin:jnlmpe:8787958
    DOI: 10.1155/2022/8787958
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