What makes a high-quality user-generated answer?

• Main Authors: Chua, Alton Yeow Kuan, Goh, Dion Hoe-Lian, John, B. M.
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2013
• Subjects: Communication and Information
• Online Access: https://hdl.handle.net/10356/100041; http://hdl.handle.net/10220/17794
• Institution: 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.