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Content Quality Assessment Related Frameworks for Social Media

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Content Quality Assessment Related Frameworks for Social Media
Kevin Chai, Vidyasagar Potdar, and Tharam Dillon
Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia kevin.chai@postgrad.curtin.edu.au, {v.potdar,t.dillon}@curtin.edu.au

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. Keywords: content quality assessment, social media, discussion forums, wikis, weblogs.

1 Introduction
Information quality (IQ) has been widely defined in literature by its fitness for use. Existing research in the field of assessing IQ within traditional information systems is relatively mature and has led to the discovery and validation of numerous quality dimensions and metrics [2, 15, 17, 29, 35]. Knight & Burn (2005) have presented a comprehensive review of literature in the realm of assessing IQ frameworks. Common IQ dimensions that were identified from their review are presented in Table 1. The definitions of these dimensions have been included from Wang & Strong (1996) [20, 37]. However, many IQ frameworks for traditional information systems fail to address quality problems caused through many-to-many mappings. This mapping refers to information created in different contexts to support the requirements of different activities and perspectives at the same time. Many-to-many mappings are common in social media [34]. Social media is an umbrella term that

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