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Author Haralabopoulos, Giannis ♦ Anagnostopoulos, Ioannis ♦ Zeadally, Sherali
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword User-generated content ♦ Credibility ♦ Information quality
Abstract In every environment of information exchange, Information Quality (IQ) is considered one of the most important issues. Studies in Online Social Networks (OSNs) analyze a number of related subjects that span both theoretical and practical aspects, from data quality identification and simple attribute classification to quality assessment models for various social environments. Among several factors that affect information quality in online social networks is the credibility of user-generated content. To address this challenge, some proposed solutions include community-based evaluation and labeling of user-generated content in terms of accuracy, clarity, and timeliness, along with well-established real-time data mining techniques.
Description Author Affiliation: University of Thessaly, Lamia, Greece (Haralabopoulos, Giannis; Anagnostopoulos, Ioannis); University of Kentucky, Lexington, KY (Zeadally, Sherali)
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-08-01
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 7
Issue Number 3
Page Count 4
Starting Page 1
Ending Page 4


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Source: ACM Digital Library