Social media platforms are important channels for digital youth to obtain science information and science popularization influencers are significant participants in science popularization on social media platforms. Based on the Elaboration Likelihood Model (ELM) and the Information Adoption Model (IAM), this paper uses an online questionnaire to obtain data. It utilizes a Partial Least Squares Structural Equation Model (PLS-SEM) to investigate the factors influencing digital youth's willingness to adopt the science popularization information released by science popularization influencers on social media platforms. The study found that the quality of science information posted by science popularization influencers did not significantly impact the perception of the usefulness of the information. In contrast, the credibility of the source, the affinity of the discourse, the consistency of the information and the rating of the data all significantly positively impact the digital youth's perception of the usefulness of the information. In addition, the perception of information usefulness can further positively influence the willingness to adopt science information. These findings further validate and extend the IAM in a theoretical sense, and in a practical way, they also provide some suggestions for different subjects：the science communication influencers can actively set some identity labels for themselves and adopt more friendly strategies for discoursing; social media platforms can display the reviews reflected by the audiences in a more dimensional way, making it easier for users to refer to the opinions of others.

science popularization influencers  /  science popularization  /  information adoption  /  elaboration likelihood model