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Volumn 7, Issue 3, 2016, Pages

The challenge of improving credibility of user-generated content in online social networks

Author keywords

Credibility; Information Quality; User generated content

Indexed keywords

DATA MINING;

EID: 84983648179     PISSN: 19361955     EISSN: 19361963     Source Type: Journal    
DOI: 10.1145/2899003     Document Type: Article
Times cited : (7)

References (11)
  • 1
    • 70349690001 scopus 로고    scopus 로고
    • Methodologies for data quality assessment and improvement
    • July 2009
    • C. Batini, C. Cappiello, C. Francalanci, and A. Maurino. 2009. Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41, 3, Article 16(July 2009), 52 pages.
    • (2009) ACM Comput. Surv. , vol.41 , Issue.3 , pp. 52
    • Batini, C.1    Cappiello, C.2    Francalanci, C.3    Maurino, A.4
  • 3
    • 84899050913 scopus 로고    scopus 로고
    • Jumping NLP curves: A review of natural language processing research [review article]
    • IEEE
    • E. Cambria and B. White. 2014. Jumping NLP curves: A review of natural language processing research [review article]. Computational Intelligence Magazine. IEEE 9, 2, 48-57.
    • (2014) Computational Intelligence Magazine , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2
  • 7
    • 84983673222 scopus 로고    scopus 로고
    • Use of credibility heuristics in a social question-answering service
    • P. Matthews. 2015. Use of credibility heuristics in a social question-answering service. Inf. Res. 20, 1.
    • (2015) Inf. Res. , vol.20 , pp. 1
    • Matthews, P.1
  • 11
    • 79958739904 scopus 로고    scopus 로고
    • Credibility and cognitive authority of information
    • M. Bates and M. N. Maack Eds.. 3rd Ed. Taylor and Francis Group, LLC, New York
    • S. Y. Rieh. 2010. Credibility and cognitive authority of information. In Encyclopedia of Library and Information Sciences, M. Bates and M. N. Maack (Eds.). 3rd Ed. Taylor and Francis Group, LLC, New York, 1337-1344.
    • (2010) Encyclopedia of Library and Information Sciences , pp. 1337-1344
    • Rieh, S.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.