Building an Optimal Dataset for Arabic Fake News Detection

Mohammad A. Bsoul, Abdallah Qusef, Saleh Abu Soud. Building an Optimal Dataset for Arabic Fake News Detection. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal. Volume 201 of Procedia Computer Science, pages 665-672, Elsevier, 2022. [doi]

@inproceedings{BsoulQA22,
  title = {Building an Optimal Dataset for Arabic Fake News Detection},
  author = {Mohammad A. Bsoul and Abdallah Qusef and Saleh Abu Soud},
  year = {2022},
  doi = {10.1016/j.procs.2022.03.088},
  url = {https://doi.org/10.1016/j.procs.2022.03.088},
  researchr = {https://researchr.org/publication/BsoulQA22},
  cites = {0},
  citedby = {0},
  pages = {665-672},
  booktitle = {The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {201},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}