This dataset enables training multimodal models to detect political stance in short-form video discussions while accounting for conversational context—a capability previously limited by lack of labeled data combining video, audio, and nested comment structures.
TikStance is a dataset of 13,876 comments on 161 TikTok videos about three 2024 U.S. political figures, labeled for stance (Favor/Against/None) with both video and comment-level annotations. It preserves audio, video, and hierarchical comment threads to enable research on how people express political opinions across short-video platforms.