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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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 |