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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...

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Detalles Bibliográficos
Autores principales: Record, Isaac, Miller, Boaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
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