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A study on real-time low-quality content detection on Twitter from the users’ perspective

Detection techniques of malicious content such as spam and phishing on Online Social Networks (OSN) are common with little attention paid to other types of low-quality content which actually impacts users’ content browsing experience most. The aim of our work is to detect low-quality content from th...

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Detalles Bibliográficos
Autores principales: Chen, Weiling, Yeo, Chai Kiat, Lau, Chiew Tong, Lee, Bu Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549928/
https://www.ncbi.nlm.nih.gov/pubmed/28793347
http://dx.doi.org/10.1371/journal.pone.0182487

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