Crowdsourced audit of Twitter’s recommender systems

This research conducts an audit of Twitter’s recommender system, aiming to examine the disparities between users’ curated timelines and their subscription choices. Through the combined use of a browser extension and data collection via the Twitter API, our investigation reveals a high amplification...

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Detalles Bibliográficos
Autores principales: Bouchaud, Paul, Chavalarias, David, Panahi, Maziyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556069/
https://www.ncbi.nlm.nih.gov/pubmed/37798318
http://dx.doi.org/10.1038/s41598-023-43980-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556069/
https://www.ncbi.nlm.nih.gov/pubmed/37798318
http://dx.doi.org/10.1038/s41598-023-43980-4

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