YTCommentVerse: Multi-Category YouTube Comment Corpus
YouTubeContent moderationEngagementMultilingualSentimentSocial graphVideo & streaming A YouTube (multi-category comment corpus) dataset of 40,824,926 comments from 20,568,637 unique commenters across 178,027 videos, collected by YTCommentVerse project team via YouTube Data API. Each record contains hashed video ID, hashed commenter channel ID, comment text, vote count, video category (entertainment/gaming/news/music/etc.). YTCommentVerse contains 40,824,926 YouTube comments spanning 25 categories with privacy-preserving hashed identifiers, enabling large-scale multilingual comment analysis. Suitable for YouTube comment analysis, multilingual NLP, engagement research, content moderation, commenter behavior modeling, cross-category platform analysis.
Cite this dataset at
youtube-comment-verse.echo.directory
Analytics
The full graph has 20,746,661 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
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Computed over the full corpus. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)
Record
- Catalog key
youtube-comment-verse- Authors
- Dutta, Hridoy Sankar; Khan, Biswadeep
- Year
- 2025
- Source paper
- YTCommentVerse: A Multi-Category Multi-Lingual YouTube Comment Corpus
- DOI / arXiv
- 10.1145/3746252.3761629
- License
- CC BY 4.0 (CC-BY-4.0)
- Records
- 40,824,926
- Nodes
- 20,746,661
- Edges
- 40,824,919
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- ar, de, en, es, fr, hi, ja, pt
- Collected
- 2024 (2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/15678816 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 10.1 GB across 1 files. Checksums in MANIFEST.json.
Citations
YTCommentVerse: A Multi-Category Multi-Lingual YouTube Comment Corpus
Hridoy Sankar Dutta, Biswadeep Khan
Journal Article · International Conference on Information and Knowledge Management · 2025
Cited by
- Sentiment Analysis of YouTube Comments on the 2025 DPR RI Demonstration Using Machine Learning
Adelia Putri Widyasari, Muljono Muljono · JOURNAL OF APPLIED INFORMATICS AND COMPUTING · 2026 · cited 3×
Citation data from Semantic Scholar, retrieved 2026-10-20.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{Dutta_2025,
series = {CIKM ’25},
title = {YTCommentVerse: A Multi-Category Multi-Lingual YouTube Comment Corpus},
url = {http://dx.doi.org/10.1145/3746252.3761629},
doi = {10.1145/3746252.3761629},
booktitle = {Proceedings of the 34th ACM International Conference on Information and Knowledge Management},
publisher = {ACM},
author = {Dutta, Hridoy Sankar and Khan, Biswadeep},
year = {2025},
month = Nov,
pages = {6351–6355},
collection = {CIKM ’25}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Dutta, H. S., & Khan, B. (2025). YTCommentVerse: Multi-Category YouTube Comment Corpus [Data set]. https://doi.org/10.1145/3746252.3761629
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Dutta, Hridoy Sankar, and Biswadeep Khan. YTCommentVerse: Multi-Category YouTube Comment Corpus. 2025, doi.org/10.1145/3746252.3761629.