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Issue No. 01 - January/February (2011 vol. 15)
ISSN: 1089-7801
pp: 66-71
Blooma Mohan John , Nanyang Technological University
Alton Yeow-Kuan Chua , Nanyang Technological University
Dion Hoe-Lian Goh , Nanyang Technological University
Community-driven question-answering (CQA) services on the Internet let users share content in the form of questions and answers. Usually, questions attract multiple answers of varying quality from other users. A new approach aims to identify high-quality answers from candidate answers to questions that are semantically similar to the new question. Toward that end, the authors developed and tested a quality framework comprising social, textual, and content-appraisal features of user-generated answers in CQA services. Logistic-regression analysis revealed that content-appraisal features were the strongest predictor of quality. These features include dimensions such as comprehensiveness, truthfulness, and practicality.
question answering, quality framework, Internet

B. M. John, A. Y. Chua and D. H. Goh, "What Makes a High-Quality User-Generated Answer?," in IEEE Internet Computing, vol. 15, no. , pp. 66-71, 2011.
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