A Psycho-linguistic Analysis of BitChute
Benjamin D. Horne
TL;DR
This paper introduces psycho-linguistic metadata for the MeLa-BitChute dataset using LIWC22, enabling better analysis of language patterns on BitChute compared to other social media platforms.
Contribution
It provides new psycho-linguistic metadata for BitChute videos, comments, and channels, along with methods to filter data and basic comparative analysis.
Findings
Language on BitChute differs from other social media platforms
New psycho-linguistic metadata enhances dataset usability
Methods for filtering data using LIWC22 metadata are proposed
Abstract
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.
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Taxonomy
TopicsMisinformation and Its Impacts · Mental Health via Writing · Complex Network Analysis Techniques