Leveraging Artificial Intelligence in Social Media Marketing: A Psychological Perspective on Consumer Engagement And Emotional Influence

Abstract

Artificial intelligence not only revolutionized social media marketing but also enabled companies to use emotional persuasion. Customer interactions have been further improved through increasingly personalized data scanning. Perceived AI personalization, emotional effect and consumer engagement is the focus of this research exercise; it was studied across five Asian countries (Pakistan, India, China, Malaysia and Indonesia), through an online structured survey conducted among 500 active social media users. All the dimensions were measured using a 5-point Likert attitude scale, whereas correlation, regression and mediation were used to examine the interaction between the variables. Emotional influence was strongly affected by the degree to which users believed the AI has been tailored to them (β = 0.61, p < 0.001), suggesting that users react emotionally toward content they perceive as credible. Like, comment, share and buy intention were all strongly influenced by emotional response (β = 0.57, p < 0.001). The media effect partly mediates AI personalization to the engagement According to the mediation analysis, albeit partially, sensitive impact serves as a mediator on the relationship between AI personalization to the sensitivity (the mediated effect: β = 0.35). It is suggested by those findings that AI-powered marketing is not just providing information but lighting emotional experiences and motivations so as to attract user participation. However, the study supplements marketing psychology by positioning emotion as a crucial mediating factor in the context of behavioral effects and algorithmic targeting. The study findings also provide descriptive instances of how consumer trust can still be maintained in concurrence with the continuance of engagement, and to this amount they speak a very fine language to professional workers in our field. We suspect that the regulatory steps you have yet to take may manufacture advantageous measures capable of stopping confusing ad-driven touching profiling. Policy Quit First, we contend that this study has practical implications for successful and moral digital branding methods in the era of AI as an “unrefined” factor up-and-coming due to social media advertisements made promising by artificial brainpower use.

Keywords: Artificial Intelligence, Social Media Marketing, Consumer Engagement, Emotional Influence, Personalization, Digital Psychology, Algorithmic Marketing, Marketing Ethics.