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University of Illinois Urbana-Champaign

Understanding Health Information Intent via Crowdsourcing: Challenges and Opportunities

Lu, Di; Lu, Yihan; Jeng, Wei; Farzan, Rosta; Lin, Yu-Ru

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https://hdl.handle.net/2142/73704

Description

Title
Understanding Health Information Intent via Crowdsourcing: Challenges and Opportunities
Author(s)
  • Lu, Di
  • Lu, Yihan
  • Jeng, Wei
  • Farzan, Rosta
  • Lin, Yu-Ru
Issue Date
2015-03-15
Keyword(s)
  • human information behavior
  • health informtics
Date of Ingest
2015-03-24T16:07:32Z
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.
Publisher
iSchools
Series/Report Name or Number
iConference 2015 Proceedings
Type of Resource
text
Genre of Resource
Conference Poster
Language
English
Permalink
http://hdl.handle.net/2142/73704
Copyright and License Information
Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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