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YT_SD

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License:cc-by-nc-nd-4.0

If you use this dataset, please cite the following paper:

R. Gunti and J.M.S. Dilinika, “Detecting User Stances on AI-Generated YouTube Content,” Proceedings - 9ᵗʰ IEEE International Research Conference on Smart Computing and Systems Engineering, SCSE 2026.

Dataset Description

The data was collected on 17 YouTube channels that rely on AI-generated content. This dataset include metadata related to (a) a channel (e.g., description, title, and thumbnail URLs), (b) video and short reels (id, title, description, date & time published) on a channel, and (c) user interactions (likes, views, comments, comment date & time published) for each video. Overall, a total of 14,465 metadata entries were collected. However, for coding the user’s opinions and views and identifying their stance only comments are analyzed

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