This study examines strategic differences between Democratic and Republican YouTube influencers during the 2024 US presidential election and their association with comment-level political polarization. Drawing on digital opinion leadership theory, platform architecture perspectives, and visual framing research, we employ a mixed-methods design integrating framing analysis with latent Dirichlet allocation topic modeling. The study analyzes 373 videos and 371,124 comments posted by 40 YouTube influencers (≥100,000 subscribers) from July 27th to November 30th, 2024. Findings reveal that Democratic creators adopted a moral-crisis framing strategy while Republicans emphasized an opportunity–explanation framing model, and that 56.4% of comment discourse centers on candidate personality rather than policy substance, exhibiting patterns consistent with affective polarization. The study develops and empirically calibrates the YouTube polarization risk assessment scale through ordinary least squares regression analysis (R² = 0.224, p 0.001), identifying political stance strength and humor/sarcasm as the strongest predictors of comment polarization, thereby providing an exploratory, empirically informed framework for assessing polarization risk in platform-based political communication.
Zeng et al. (Thu,) studied this question.