Predictors of high-quality answers

• Main Authors: Blooma, Mohan John, Goh, Dion Hoe-Lian, Chua, Alton Yeow Kuan
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/97483; http://hdl.handle.net/10220/10600
• Institution: Nanyang Technological University

Purpose – The purpose of this study is to examine the predictors of high-quality answers in a community-driven question answering service (Yahoo! Answers). Design/methodology/approach – The identified predictors were organised into two categories: social and content features. Social features ref...