What Makes a High-Quality User-Generated Answer?

Author

John, Blooma Mohan ; Chua, Alton Yeow-Kuan ; Goh, Dion Hoe-Lian

Author_Institution

Nanyang TechnologicalUniversity, Nanyang, China

Volume

15

Issue

1

fYear

2011

Firstpage

66

Lastpage

71

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.

Keywords

Internet; question answering (information retrieval); regression analysis; user interfaces; Internet; community-driven question-answering service; content-appraisal quality feature; high-quality user-generated answer; logistic-regression analysis; quality framework; social quality feature; textual quality feature; Accuracy; Feature extraction; Internet; Social network services; User interfaces; Web services; Internet; quality framework; question answering;

fLanguage

English

Journal_Title

Internet Computing, IEEE

Publisher

ieee

ISSN

1089-7801

Type

jour

DOI

10.1109/MIC.2011.23

Filename

5676167