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Rafał Kozik1, Wojciech Mazurczyk2, Krzysztof Cabaj2

  • 1Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, 85-796 Bydgoszcz, Poland.

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Summary
This summary is machine-generated.

This study introduces a novel committee of classifiers to combat disinformation and fake news online. The ensemble approach enhances model generalization for more effective fake news detection in real-world scenarios.

Keywords:
deep learningensemble of classifiersfake newsmisinformationtext classification

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Social Computing

Background:

  • The rise of social media blurs expert and non-expert opinions, impacting traditional media.
  • Disinformation and fake news on social platforms pose significant threats to state security.
  • Existing deep learning solutions for fake news detection struggle with real-world model generalization due to data deficits.

Purpose of the Study:

  • To propose an innovative solution for fake news detection using an ensemble of classifiers.
  • To address the challenge of model generalization in real-world applications.
  • To develop effective tools for combating the spread of disinformation online.

Main Methods:

  • Developed an ensemble of classifiers for fake news detection.
  • Utilized multi-label text category classification to formulate the ensemble.
  • Trained diverse base models independently on unique sub-corpora.

Main Results:

  • Experiments conducted on six benchmark datasets demonstrated promising results.
  • The proposed committee of classifiers approach shows effectiveness in fake news detection.
  • The findings suggest a viable direction for future research in combating online disinformation.

Conclusions:

  • The committee of classifiers offers a promising approach to enhance fake news detection.
  • Addressing data deficits and improving model generalization are crucial for real-world applications.
  • This research opens avenues for developing robust tools against malicious disinformation campaigns.