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Article Name - Misinformation: Detection, Spread, and Societal Impact

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  • Introduction This survey thoroughly examines Machine Learning (ML) approaches for fake news detection, categorizing methods and highlighting their strengths and weaknesses. It points out the challenges in identify ... 2026-01-13
  • Description The fight against fake news heavily relies on advanced technological solutions. Machine Learning (ML) approaches offer systematic ways to detect misleading information, categorizing different methods ... 2026-01-13
  • Conclusion Various studies examine the multifaceted problem of fake news and misinformation, from its detection to its societal impacts. Machine Learning (ML) and deep learning (DL) are critical tools in identif ... 2026-01-13
  • Acknowledgement None ... 2026-01-13
  • Conflict of Interest None ... 2026-01-13
  • References Marwan A, Hamad A, Abdullah A. "Detecting fake news with machine learning: A survey".Information Processing & Management 58 (2021):102711. Indexed at, Google Scholar, Crossref ... 2026-01-13