Document Type
Conference Paper
Publication Date
2024
DOI
10.32473/flairs.37.1.135341
Publication Title
The International FLAIRS Conference Proceedings
Volume
37
Issue
1
Pages
5 pp.
Conference Name
37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, 19-21 May 2024, Miramar Beach, FL
Abstract
In the digital age, the rise of Islamophobia-marked by an irrational fear or discrimination against Islam and Muslims-has emerged as a pressing issue, especially on social media platforms. In this paper we employs a multi-class classification system, moving beyond traditional binary models. We categorize Islamophobic content into three main classes and various subclasses, covering a range from subtle biases to explicit incitement. Comparative analysis of data from Reddit and Twitter illuminates the distinct prevalence and types of Islamophobic content specific to each platform. This paper deepens our understanding of digital Islamophobia and provides insights for crafting targeted online counter strategies. Additionally, it highlights the role of machine
and deep learning in detecting and addressing Islamophobic content, emphasizing their significance in resolving complex social issues in the digital sphere.
Rights
© 2024 Esraa Aldreabi, Khawlah M. Harahsheh, Mukil Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Original Publication Citation
Aldreabi, E., Harahsheh, K., Chhangani, M. D., Chen, C.-H., & Blackburn, J. (2024). Beyond binary: Revealing variations in islamophobic content with hierarchical multi-class classification. The International FLAIRS Conference Proceedings, 37(1). https://doi.org/10.32473/flairs.37.1.135341
Repository Citation
Aldreabi, Esraa; Harahsheh, Khawlah M.; Chhangani, Mukul Dev; Chen, Chung-Hao; and Blackburn, Jeremy, "Beyond Binary: Revealing Variations in Islamophobic Content with Hierarchical Multi-Class Classification" (2024). Electrical & Computer Engineering Faculty Publications. 475.
https://digitalcommons.odu.edu/ece_fac_pubs/475
ORCID
0009-0007-3728-1634 (Harahsheh)
Included in
Artificial Intelligence and Robotics Commons, Data Science Commons, Social Media Commons