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Title:Understanding Health Information Intent via Crowdsourcing: Challenges and Opportunities
Author(s):Lu, Di; Lu, Yihan; Jeng, Wei; Farzan, Rosta; Lin, Yu-Ru
Subject(s):human information behavior
health informtics
Abstract:Social Q&A sites have been emerging as a platform for people to seek information and social supports around health topics. Identifying users’ information needs from the questions can significantly help social Q&A sites serve their users better. Prior research had attempted to understand askers’ intentions and implicit needs by classifying hidden intent from questions, while the non-trivial categorization was only able to be conducted with a limited size of data. In this study, we aim to develop a scalable categorization method that can categorize the askers’ intent in a large set of health-related questions via crowdsourcing. We conducted a preliminary experiment on Amazon Mechanical Turk to evaluate our categorization method. Our results suggests both challenges and opportunities for understanding health information intent via crowdsourcing.
Issue Date:2015-03-15
Series/Report:iConference 2015 Proceedings
Genre:Conference Poster
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24

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