Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts

  • Citation: Muaad, Abdullah Y., Hanumanthappa Jayappa Davanagere, J. V. Bibal Benifa, Amerah Alabrah, Mufeed Ahmed Naji Saif, D. Pushpa, Mugahed A. Al-antari, and Taha M. Alfakih. “Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.” Computational Intelligence and Neuroscience 2022, no. 1 (2022): 7937667.
    • Topics:
    • Country and Regional Studies
    • Science Technology and Innovation
    • Keywords:
    • Misogyny
    • Sarcasm
    • Text Detection
    • Arabic
    • Deep Learning
  • Criminal Justice, Artificial Intelligence Systems, and Human Rights

    Završnik, Aleš. “Criminal Justice, Artificial Intelligence Systems, and Human Rights.” ERA Forum 20, no. 4 (March 1, 2020): 567–83.

    • Authors with Diverse Backgrounds
    Keywords: Criminal Justice, Human Rights, Automation, Algorithms, Artificial Intelligence, Fair Trial
  • Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software

    Yoder-Himes, Deborah R., Alina Asif, Kaelin Kinney, Tiffany J. Brandt, Rhiannon E. Cecil, Paul R. Himes, Cara Cashon, Rachel M. P. Hopp, and Edna Ross. “Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software.” Frontiers in Education 7 (September 20, 2022).

    • Authors with Diverse Backgrounds