A Psycho-linguistic Analysis of BitChute
This work supports researchers, journalists, and practitioners in exploring and reporting on BitChute content, but it is incremental as it adds metadata to an existing dataset.
The paper tackles the problem of analyzing language on BitChute by providing psycho-linguistic metadata using LIWC22 for the MeLa-BitChute dataset, enabling filtering and basic comparisons with other social media platforms.
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.