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People, posts, and platforms: reducing the spread of online toxicity by contextualizing content and setting norms
We present a novel model of individual people, online posts, and media platforms to explain the online spread of epistemically toxic content such as fake news and suggest possible responses. We argue that a combination of technical features, such as the algorithmically curated feed structure, and so...
Autores principales: | Record, Isaac, Miller, Boaz |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389473/ https://www.ncbi.nlm.nih.gov/pubmed/38013952 http://dx.doi.org/10.1007/s44204-022-00042-2 |
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