An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter

Conspiracy theories have seen a rise in popularity in recent years. Spreading quickly through social media, their disruptive effect can lead to a biased public view on policy decisions and events. We present a novel approach for LDA-pre-processing called Iterative Filtering to study such phenomena b...

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Detalles Bibliográficos
Autores principales: Kant, Gillian, Wiebelt, Levin, Weisser, Christoph, Kis-Katos, Krisztina, Luber, Mattias, Säfken, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072765/
https://www.ncbi.nlm.nih.gov/pubmed/35542313
http://dx.doi.org/10.1007/s41060-022-00321-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072765/
https://www.ncbi.nlm.nih.gov/pubmed/35542313
http://dx.doi.org/10.1007/s41060-022-00321-4

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