Content Quality Assessment Related Frameworks for Social Media

Authors:
Kevin Chai;Vidyasagar Potdar;Tharam Dillon
Affiliations:
Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia
Venue:
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Year:
2009

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Abstract

The assessment of content quality (CQ) in social media adds a layer of complexity over traditional information quality assessment frameworks. Challenges arise in accurately evaluating the quality of content that has been created by users from different backgrounds, for different domains and consumed by users with different requirements. This paper presents a comprehensive review of 19 existing CQ assessment related frameworks for social media in addition to proposing directions for framework improvements.