Fake-News-Detection-via-Deep-Learning-TF-IDF

Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm

Authors

• Tilbe Korkmaz
  Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul, Turkey

• Ali Çetinkaya
  Department of Electronics Technology, Istanbul Gelisim Vocational School, Istanbul Gelisim University, Istanbul, Turkey

• Hakan Aydın
  Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul, Turkey

• Mehmet Ali Barışkan
  Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul, Turkey

For Correspondence: [email protected]

Article Information

• Received: August 12, 2020
• Accepted: October 21, 2020
• DOI: 10.35860/iarej.779019
• Full Article Access Link: Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm

Abstract

Internet use has become increasingly widespread nowadays. In addition, there is a significant increase in the amount of text content produced in digital media. However, the accuracy and inaccuracy of the news we read and the content produced in a large number are also unknown. In this study, classification and analysis of whether the news is real or not were done by using Deep Learning methods. For the English news, the data set created by Katharine Jarmul was used. The data set contained a total of 6336 news items. The distribution of this data set, which consisted of political and political news, was 50% fake and 50% real. The method used in text classification was Term Frequency - Inverse Document Frequency (TF-IDF). The classification was made with the data set used and 93.88% success and 6.12% error were obtained as a result of the analysis.

Keywords: Natural Language Processing, Text Analysis, Text Classification, TF-IDF Algorithms

How to Cite

• IEEE: T. Korkmaz, A. Çetinkaya, H. Aydın, and M. A. Barışkan, “Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm”, Int. Adv. Res. Eng. J., vol. 5, no. 1, pp. 31–41, 2021, doi: 10.35860/iarej.779019.

• APA: Korkmaz, T., Çetinkaya, A., Aydın, H., Barışkan, M. A. (2021). Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm. International Advanced Researches and Engineering Journal, 5(1), 31-41. https://doi.org/10.35860/iarej.779019

• MLA: Korkmaz, Tilbe et al. “Analysis of Whether News on the Internet Is Real or Fake by Using Deep Learning Methods and the TF-IDF Algorithm”. International Advanced Researches and Engineering Journal, vol. 5, no. 1, 2021, pp. 31-41, doi:10.35860/iarej.779019.

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Open Access Journal System - BOAI

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