The tremendous influence of artificial intelligence is pretty evident, particularly in the media, where it has opened up new avenues of expression and changed how people perceive the world. The rise of digital technology has revolutionized both commercial processes and consumer shopping habits. Millions worldwide have used social media to express their emotions about the devastating COVID-19 outbreak. This paper aims to review existing literature by conducting a thorough review of the current literature related to the research question to understand the context, identify gaps, and recognize relevant theories or methodologies. Consequently, a deluge of data is flooding social media, with numerous studies conducted to analyze and understand it. Policymakers and decision-makers at relevant institutions may find the results of these analyses helpful as they endeavor to implement effective policies and strategies. The information shared on social media platforms has become increasingly significant for public health research and surveillance. Compared to traditional health reporting methods' time lag and cost, monitoring social media and user-generated data on the Internet enables rapid and affordable information gathering. As an additional data source in the health domain, social media discussions may prove valuable for tracking vaccine-related safety concerns. Monitoring internet observations about novel personal health experiences related to vaccines may enhance the potential for early warnings of emerging vaccine safety hazards.
