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What Makes a High-Quality User-Generated Answer?
January/February 2011 (vol. 15 no. 1)
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.

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Index Terms:
question answering, quality framework, Internet
Citation:
Blooma Mohan John, Alton Yeow-Kuan Chua, Dion Hoe-Lian Goh, "What Makes a High-Quality User-Generated Answer?," IEEE Internet Computing, vol. 15, no. 1, pp. 66-71, Jan.-Feb. 2011, doi:10.1109/MIC.2011.23
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