Determining individuals who positively reacted to commentary posted on the YouTube platform directly is not a feature currently provided by the service. While the total number of positive reactions (likes) is visible, identifying specific user accounts behind those reactions is not possible. The platform aggregates the total positive responses without offering individual-level data to the comment author or the public.
Understanding aggregate audience response to posted content can offer valuable insights into viewer sentiment and engagement levels. While the absence of individual user data preserves privacy, the total “like” count serves as an indicator of resonance and impact. This aggregated feedback can inform content creators about topics and viewpoints that resonate most strongly with their audience, potentially influencing future content strategy and development.