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Predicting Virtual Influencers Based on MBTI Personality using Machine Learning Algorithms
Author Name : Dr. R. Raghuram, Mr. D. Vasanth Kumar
ABSTRACT Virtual influencers are computer-generated characters or digital models. These models are designed to look and behave like humans. They have realistic features and characteristics like human personalities. They have their social media profiles and post content on their accounts. Virtual influencers have deep interaction with customers, driving unprecedented levels of social connectivity. These influencers are often used on social media to promote products. This is a fascinating trend because it has a high level of reliability and predictability compared to human social media influencers. However, MBTI is a well-known tool for the perception of behavior on online social platforms. Although virtual influencers are spreading quickly, there are few studies on the topic. The aim of the study is to predict the virtual influencers based on MTBI personalities. This also shows the trends in virtual influencer persona based on demographics and location. The results will provide insights into the world of virtual influencers that combine AI creativity with the dynamics of social media