Supervised Machine Learning Applications for Detecting Internet Research Agency Misinformation

Authors

  • Thomas Wiese
  • Jessica Wiese

Keywords:

Information Security, Machine Learning, Artificial Intelligence, Misinformation, Fake News, Natural Language Processing, Data, Technology, Analytics, Warfare

Abstract

Misinformation has shifted political narratives across the globe. Because information shared over social media platforms lack traditional publishers and editors, the public is more susceptible to consuming information that is untrue. During the 2016 U.S. presidential election, the Russian government sponsored information operatives to spread misleading and/or false claims through social media. This study defines a method for automated detection of misinformation on social media using machine learning.

 

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Published

2023-04-04

How to Cite

Wiese, T., & Wiese, J. (2023). Supervised Machine Learning Applications for Detecting Internet Research Agency Misinformation. International Journal of Language, Literature and Culture, 3(1). https://journal-repository.com/index.php/ijllc/article/view/6174