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A Framework for Evaluation of Social Media in a Distributed Environment
Ronald S. Cordova,Krislan B. Ong,Jin-Young Jung,Gi-Weon Kim,Jung-Gil Song 한국정보기술학회 2008 한국정보기술학회논문지 Vol.6 No.6
As the availability of user-generated content increases, the task of identifying high-quality content in sites based on user contributions from social media sites becomes increasingly important. Social media provide a range of applications and services available to support communications, collaboration, and information sharing within a community. This paper proposes a framework for efficient evaluation of social media in a distributed environment. Our framework uses Web 2.0 technologies that were tested and implemented in Agriculture domain. It takes into account the rating in terms of the reliability of content and additional information about the expert who contributed the content. Our framework for the computation of rating is presented based on the votes of users to a particular content, comment and answers. Ratings of the submitted contents, referred links that were found very useful, comments on other contents and reliability of the answers to questions are being computed to get the expert’s overall rating. We illustrate the efficiency of our rating scheme when using Bayesian average rather than Arithmetic average in the calculation of the rating. Also, the user’s rating as an expert is reflected in our system via automated mechanism for user’s expertise calculation. The rating of contents and experts can be very useful in locating high quality content.