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...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Public Library of Science (PLoS)
2017-01-01
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| Saila: | PLoS ONE |
| Sarrera elektronikoa: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182487&type=printable |
| Etiketak: |
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