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| Format: | Preprint |
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2025
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| Online Access: | https://arxiv.org/abs/2510.23645 |
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| _version_ | 1866908615157219328 |
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| author | Goncalves, Alexandre Ng, Yee Man Margaret |
| author_facet | Goncalves, Alexandre Ng, Yee Man Margaret |
| contents | On July 1, 2025, YouTube retired its decade-long public "Trending" pages, ending platform-curated, non-personalized video discovery. The Trending list had long served as a vital lens into algorithmic influence, cultural diffusion, and crisis communication globally, offering a rare "ground-truth" reference to study global attention and cultural salience. We present a three-year archival dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, with four daily snapshots for each of the 104 countries. The dataset includes 446,971 snapshots, each capturing up to 200 trending videos, encompassing 78.4 million video entries (726,627 unique videos) and associated metadata. Each record includes core identifiers (snapshot time, country, rank) and content metadata (video ID, channel ID, title, description, tags, publication date, category, channel name, language, live status, views, and comments). Unlike previous datasets with limited geographic scope or short timeframes, our non-personalized data provides exceptional cross-national and longitudinal coverage for studying digital culture, platform governance, and temporal dynamics in content popularity. We document the data collection methodology, schema design, coverage, descriptive statistics for both global and U.S. trending videos, and the ethical safeguards implemented throughout. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_23645 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Global YouTube Trending Dataset (2022-2025): Three Years of Platform-Curated, Cross-National Trends in Digital Culture Goncalves, Alexandre Ng, Yee Man Margaret Social and Information Networks On July 1, 2025, YouTube retired its decade-long public "Trending" pages, ending platform-curated, non-personalized video discovery. The Trending list had long served as a vital lens into algorithmic influence, cultural diffusion, and crisis communication globally, offering a rare "ground-truth" reference to study global attention and cultural salience. We present a three-year archival dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, with four daily snapshots for each of the 104 countries. The dataset includes 446,971 snapshots, each capturing up to 200 trending videos, encompassing 78.4 million video entries (726,627 unique videos) and associated metadata. Each record includes core identifiers (snapshot time, country, rank) and content metadata (video ID, channel ID, title, description, tags, publication date, category, channel name, language, live status, views, and comments). Unlike previous datasets with limited geographic scope or short timeframes, our non-personalized data provides exceptional cross-national and longitudinal coverage for studying digital culture, platform governance, and temporal dynamics in content popularity. We document the data collection methodology, schema design, coverage, descriptive statistics for both global and U.S. trending videos, and the ethical safeguards implemented throughout. |
| title | Global YouTube Trending Dataset (2022-2025): Three Years of Platform-Curated, Cross-National Trends in Digital Culture |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2510.23645 |