In order to better support researchers, journalist, and practitioners in their use of the MeLa-BitChute dataset for exploration and investigative reporting, we provide new psycho-linguistic metadata for the videos, comments, and channels in the dataset using LIWC22. This paper describes that metadata and methods to filter the data using the metadata. In addition, we provide basic analysis and comparison of the language on BitChute to other social media platforms. The MeLa-BitChute dataset and LIWC metadata described in this paper can be found at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KRD1VS.
Cite
@article{arxiv.2204.08078,
title = {A Psycho-linguistic Analysis of BitChute},
author = {Benjamin D. Horne},
journal= {arXiv preprint arXiv:2204.08078},
year = {2022}
}
Comments
This paper is a Metadata Supplement to The MeLa BitChute Dataset