A Psycho-linguistic Analysis of BitChute
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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.
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5 of 29 references.
References · 5
- 2017Beyond News Contents: The Role of Social Context for Fake News Detectioncited by 91
- 2017This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real Newscited by 59
- 2018A Quantitative Approach to Understanding Online Antisemitismcited by 26
- 2016Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behaviorcited by 2
- 2022The MeLa BitChute Datasetcited by 2
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