Virtual influencers, digital endorsers, and the architecture of consumer trust

Abstract

The rapid rise of virtual influencers and AI, generated digital endorsers has changed the face of online marketing, calling into question the traditional ideas of credibility, authenticity, and consumer trust. This research paper combines the results of ten peer, reviewed research papers and uses a simulated bibliometric correlation matrix to investigate the social structure of consumer trust in virtual endorsement environments. According to the analysis, consumer trust is mainly dependent on perceived credibility and authenticity, which in turn are the strongest predictors in the direction of the studies. In addition to trust, engagement and parasocial interaction also have major roles where they show moderate to strong correlations with that and purchase intention. They claim that the relation of the consumer with the virtual influencer is so real that the consumer can hardly distinguish it from human. The correlation matrix that is established gives the same conclusions by showing that these factors have strong linkages with each other and that they combined form a multi, layered trust mechanism. The results indicate that virtual celebrities can seem to be more stable and manageable than human ones; however, they may seem less authentic if their artificiality is emphasized. It is said in the studies that digital endorsers who give emotional cues and behave anthropomorphically can improve their social presence, thus, making more effective the human, like persuasion they simulate. The bibliometric review has discovered three key streams of the research: (1) trust formation through credibility and authenticity signals, (2) psychological engagement shaped by parasocial interaction and social presence, and (3) behavioral outcomes such as purchase intention. These research outputs put forward consumer trust as a conceptual architecture showing how consumers’ decision, making is influenced jointly by cognitive evaluations (credibility, authenticity) and affective mechanisms (engagement, parasocial bonding) in a virtual marketing context. The paper ends with the identification of gaps concerning, among other aspects, cross, cultural perception, algorithmic transparency, and ethical implications, thus, suggesting future research directions.