Original paper
Quality assessment of answers with user-identified criteria and data-driven features in social Q&A
Abstract
The purpose of the current study is to identify the user criteria and data-driven features, both textual and non-textual, for assessing the quality of answers posted on social questioning and answering sites (social Q&A) across four different knowledge domains—Science, Technology, Art and Recreation. A comprehensive review of literature on quality assessment of information produced in social contexts was carried out to develop the theoretical...
Paper Details
Title
Quality assessment of answers with user-identified criteria and data-driven features in social Q&A
Published Date
Jan 1, 2019
Volume
56
Issue
1
Pages
14 - 28
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Notes
History