Abstract

In every corner of social media, abuse, bias, and discrimination are prevalent phenomena. Misinformation spreading, cyberbullying, and even the swaying of public opinion and user viewpoints are examples of ABD (Abuse, Bias, and Discrimination). It is also important to remember that Artificial Intelligence (AI) systems have the potential to function biasedly, which could result in unfair user interactions and information distribution. This essay aims to highlight the potential hazards associated with social media use in the modern world. As an essential instrument for spreading information, it should be transparent, secure, equitable, and inclusive. This paper can increase the diversity of information flow, lessen the effects of abuse, bias, and discrimination, improve the social media environment, and increase the value of social media by skillfully utilizing AI technology. This paper's primary focus is on AI's numerous approaches and tactics to identify and lessen bias, abuse, and discrimination on social media. It emphasizes the significance of data diversity and quality and how to refine algorithms to make them fairer and more transparent. It also delves into stricter and more precise regulations and user education for social media, ensuring, with the help of AI algorithms, it becomes a safer, more inclusive, and fairer space.

Full Text
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