# A Psycho-linguistic Analysis of BitChute

arXiv: https://arxiv.org/abs/2204.08078 · HTML: https://mlsanity.com/paper/2204.08078/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 29 references that are in the map.
- First posted on arXiv 17 Apr 2022.

## Builds on (most cited first, 5 of 5)

- [Beyond News Contents: The Role of Social Context for Fake News Detection](https://mlsanity.com/paper/1712.07709/) (2017)
- [This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News](https://mlsanity.com/paper/1703.09398/) (2017)
- [A Quantitative Approach to Understanding Online Antisemitism](https://mlsanity.com/paper/1809.01644/) (2018)
- [Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior](https://mlsanity.com/paper/1612.03053/) (2016)
- [The MeLa BitChute Dataset](https://mlsanity.com/paper/2202.05364/) (2022)

## Abstract (arXiv)

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.