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...
Kaydedildi:
| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science (PLoS)
2017-01-01
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| Seri Bilgileri: | PLoS ONE |
| Online Erişim: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182487&type=printable |
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