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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| 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 |