1. The automatic racism text detection on social media data using machine learning.
- Author
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Yadav, Prasad, Reddy, G. Kiran Kumar, Erukala, Sudarshan, Bhaskar, Bandi, Komuravelly, Sudheer Kumar, and Kasanagottu, Srinivas
- Subjects
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INFORMATION technology , *DIGITAL technology , *MACHINE learning , *RACISM , *CYBERBULLYING , *SOCIAL media , *ETHNICITY , *PUBLIC spaces - Abstract
The power of social media in the age of information technology, including Facebook, Twitter, Instagram, and other digital products, has drastically altered how people interact with one another. The creation of a digital public space that allows all individuals, groups, or social communities to interact freely and without restriction as well as expands opportunities for the achievement of goals based on interests such as political, economic, cultural, and ethnic goals also increased the likelihood of social conflicts with more complicated histories. This essay aims to investigate the role social media plays in the dissemination of racism and hate speech, as well as the variables that contribute to these phenomena. Many aspects of the context are impacted by this event. As an illustration, consider sports trolls and hate speech, cyber bullying or online racism, and racism against people or groups based on their religion, culture, or traditions. Posting hate speech, sexism, and racism (write suitably). [ABSTRACT FROM AUTHOR]
- Published
- 2024
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