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Global YouTube Trending Dataset (2022–2025): Three Years of Platform-Curated, Cross-National Trends in Digital Culture

We present a three-year archival, longitudinal dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, four retrieval per day. This collection, a unique historical record of digital culture in transition, includes 446,971 snapshots from 104 countries, encompassing 726,627 unique videos and their associated metadata. Each record includes collection timestamp, geographic region, video ranking, core identifiers (video ID, channel ID, category), content metadata (title, description, tags, localization), language information, live status, view and comment counts. Full documentation: https://arxiv.org/abs/2510.23645

Unlike previous datasets with limited geographic scope or short timeframes, our data offers exceptional coverage for cross-national and longitudinal analyses of digital culture. This non-personalized data corpus provides an irreplaceable baseline for understanding crisis communication, platform governance or temporal shifts in content popularity.

YouTube; Trending Videos; Digital Culture; Global Trend
CC BY
Yee Man Margaret Ng
466 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-9307654_V1 2025-09-11

26.4 GB File

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Dataset update: {"description"=>["We present a three-year archival, longitudinal dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, four retrieval per day. This collection, a unique historical record of digital culture in transition, includes 446,971 snapshots from 104 countries, encompassing 726,627 unique videos and their associated metadata. Each record includes collection timestamp, geographic region, video ranking, core identifiers (video ID, channel ID, category), content metadata (title, description, tags, localization), language information, live status, view and comment counts. \r\n\r\nUnlike previous datasets with limited geographic scope or short timeframes, our data offers exceptional coverage for cross-national and longitudinal analyses of digital culture. This non-personalized data corpus provides an irreplaceable baseline for understanding crisis communication, platform governance or temporal shifts in content popularity.\r\n", "We present a three-year archival, longitudinal dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, four retrieval per day. This collection, a unique historical record of digital culture in transition, includes 446,971 snapshots from 104 countries, encompassing 726,627 unique videos and their associated metadata. Each record includes collection timestamp, geographic region, video ranking, core identifiers (video ID, channel ID, category), content metadata (title, description, tags, localization), language information, live status, view and comment counts. Full documentation: https://arxiv.org/abs/2510.23645\r\n\r\nUnlike previous datasets with limited geographic scope or short timeframes, our data offers exceptional coverage for cross-national and longitudinal analyses of digital culture. This non-personalized data corpus provides an irreplaceable baseline for understanding crisis communication, platform governance or temporal shifts in content popularity.\r\n"]} 2025-10-29T01:45:06Z
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