The Challenge of Improving Credibility of User-Generated Content in Online Social Networks

摘要

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.