The MeLa BitChute Dataset


  • 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



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


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:




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.