The ability to identify specific users who have positively engaged with a video on the YouTube platform is limited. YouTube’s design prioritizes aggregated metrics, providing data on the total number of likes received rather than a detailed list of user identities. This approach contrasts with some other social media platforms. For example, a creator can determine how many people liked their video.
This design choice impacts creators’ strategies for community engagement. While direct identification of individual liking users is unavailable, the aggregate data enables assessment of audience sentiment and content performance. Historically, this approach stems from YouTube’s focus on scalable data management and user privacy considerations, balancing the need for creator feedback with the protection of individual user data.
