Biases, Fairness, and Implications of Using AI in Social Media Data Mining

Online social media (OSM) has become an integral part of an individual's daily life. The extensive computational power and decision-making ability of artificial intelligence (AI) and the proliferation of user-generated data on OSM have made the opinion one of the key emerging research areas. However, the ease of accessing, manipulating, and mining such user-generated data raises concerns about privacy and security, data and algorithmic biases and fairness. Nevertheless, their personal and societal implications are barely addressed. In this paper, we discuss the limitations, fairness, and biases introduced in data mining and the AI model development. Moreover, we describe the possible implications of using AI systems on users' privacy and address future research directions to mitigate potential biases.