The MeLa BitChute Dataset

Authors

  • Milo Z. Trujillo Vermont Complex Systems Center, University of Vermont
  • Maurício Gruppi Computer Science, Rensselaer Polytechnic Institute
  • Cody Buntain College of Information Studies, University of Maryland
  • Benjamin D. Horne School of Information Sciences, The University of Tennessee Knoxville

DOI:

https://doi.org/10.1609/icwsm.v16i1.19386

Keywords:

Credibility of online content, Centrality/influence of social media publications and authors, Social network analysis; communities identification; expertise and authority discovery, Qualitative and quantitative studies of social media

Abstract

In this paper we present a near-complete dataset of over 3M videos from 61K channels over 2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a commonly used alternative to YouTube. Additionally, we include a variety of video-level metadata, including comments, channel descriptions, and views for each video. The MeLa-BitChute dataset can be found at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KRD1VS.

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Published

2022-05-31

How to Cite

Trujillo, M. Z., Gruppi, M., Buntain, C., & Horne, B. D. (2022). The MeLa BitChute Dataset. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1342-1351. https://doi.org/10.1609/icwsm.v16i1.19386

Issue

Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media

Section

Dataset Papers