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      YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube

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          Abstract

          YouTube plays a key role in entertaining and informing people around the globe. However, studying the platform is difficult due to the lack of randomly sampled data and of systematic ways to query the platform's colossal catalog. In this paper, we present YouNiverse, a large collection of channel and video metadata from English-language YouTube. YouNiverse comprises metadata from over 136k channels and 72.9M videos published between May 2005 and October 2019, as well as channel-level time-series data with weekly subscriber and view counts. Leveraging channel ranks from socialblade.com, an online service that provides information about YouTube, we are able to assess and enhance the representativeness of the sample of channels. YouNiverse, publicly available at https://doi.org/10.5281/zenodo.4327607, will empower the community to do research with and about YouTube.

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          Author and article information

          Journal
          18 December 2020
          Article
          2012.10378
          80d76f70-8d23-4123-a626-733e0a0bab04

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          Data: https://zenodo.org/record/4327607 GitRepo: https://github.com/epfl-dlab/YouNiverse
          cs.SI cs.CY

          Social & Information networks,Applied computer science
          Social & Information networks, Applied computer science

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