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|Title:||What makes a high-quality user-generated answer?||Authors:||Chua, Alton Yeow Kuan
Goh, Dion Hoe-Lian
John, B. M.
|Keywords:||Communication and Information||Issue Date:||2011||Source:||John, B. M., Chua, A. Y., & Goh, D. H. (2011). What makes a high-quality user-generated answer? IEEE Internet Computing, 15(1), 66-71.||Series/Report no.:||IEEE internet computing||Abstract:||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.||URI:||https://hdl.handle.net/10356/100041
|ISSN:||1089-7801||DOI:||http://dx.doi.org/10.1109/MIC.2011.23||Rights:||© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/MIC.2011.23].||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||WKWSCI Journal Articles|
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