Raza Ur Rehman, Hafiz Muhammad and Saleem, Mahpara and Jhandir, Muhammad Zeeshan and Silva Alvarado, Eduardo René and Garay, Helena and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, helena.garay@uneatlantico.es, UNSPECIFIED (2025) Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis. Journal of Big Data, 12 (1). ISSN 2196-1115
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Abstract
The proliferation of damaging content on social media in today’s digital environment has increased the need for efficient hate speech identification systems. A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. Unlike previous research focusing on single modalities, our study thoroughly examines hate speech identification across multiple forms. We classify the numerous types of hate speech, showing how it appears on different platforms and emphasizing the unique difficulties in multi-modal and multilingual settings. We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Hate speech detection; Social media; Feature engineering; Deep learning; Multimodal data analysis |
| Subjects: | Subjects > Engineering Subjects > Comunication |
| Divisions: | Europe University of Atlantic > Research > Scientific Production Fundación Universitaria Internacional de Colombia > Research > Scientific Production Ibero-american International University > Research > Scientific Production Universidad Internacional do Cuanza > Research > Scientific Production University of La Romana > Research > Scientific Production |
| Depositing User: | Sr Bibliotecario |
| Date Deposited: | 12 May 2025 08:25 |
| Last Modified: | 12 May 2025 08:25 |
| URI: | http://repositorio.funiber.org/id/eprint/17788 |
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