Testing variations across contexts in high quality information selection practices: A hierarchical linear modeling approach. Issue 1 (2015)

• Record Type: Journal Article
• Authors: Park, Min Sook; Lim, Seunghoo; Oh, Sanghee
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 52:Issue 1(2015)
• Page Start: 1
• Page End: 4
• Publication Date: 2015
• Subjects: Information quality judgments -- HGLM -- contexts in information seeking -- social media -- health informatics; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.2015.145052010099
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: This work‐in‐progress project tests the effects of context on the variation in information quality judgments. Particular consideration was given to social Q&A users' high‐quality information selection practices in health. A total of 46, 815 answers, collected from Yahoo!Answers, were analyzed, adopting the Hierarchical Generalized Linear Modeling (HGLM) technique to investigate variations in the likelihood of the selection. A preliminary finding is described in this poster.