research-article

Cataloguing Treatments Discussed and Used in Online Autism Communities

Authors:

Shaodian Zhang,

Noémie ElhadadAuthors Info & Claims

WWW '17: Proceedings of the 26th International Conference on World Wide Web

Pages 123 - 131

https://doi.org/10.1145/3038912.3052661

Published: 03 April 2017 Publication History

Abstract

A large number of patients discuss treatments in online health communities (OHCs). One research question of interest to health researchers is whether treatments being discussed in OHCs are eventually used by community members in their real lives. In this paper, we rely on machine learning methods to automatically identify attributions of mentions of treatments from an online autism community. The context of our work is online autism communities, where parents exchange support for the care of their children with autism spectrum disorder. Our methods are able to distinguish discussions of treatments that are associated with patients, caregivers, and others, as well as identify whether a treatment is actually taken. We investigate treatments that are not just discussed but also used by patients according to two types of content analysis, cross-sectional and longitudinal. The treatments identified through our content analysis help create a catalogue of real-world treatments. This study results lay the foundation for future research to compare real-world drug usage with established clinical guidelines.

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Cited By

Ni ZQian YYao ZZhang S(2022)Understanding the Adoption of Dietary Interventions Within a Chinese Autism Online Community: A Diffusion of Innovations PerspectiveHealth Communication10.1080/10410236.2022.2048469(1-12)Online publication date: 8-Mar-2022
https://doi.org/10.1080/10410236.2022.2048469
Bailey SZhang YRamesh AGolbeck JGetoor L(2020)A Structured and Linguistic Approach to Understanding Recovery and Relapse in AAACM Transactions on the Web10.1145/342320815:1(1-35)Online publication date: 5-Nov-2020
https://dl.acm.org/doi/10.1145/3423208

Index Terms

Cataloguing Treatments Discussed and Used in Online Autism Communities
1. Applied computing
  1. Life and medical sciences
    1. Health informatics
2. Networks
  1. Network types
    1. Overlay and other logical network structures
      1. Online social networks

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Published In

cover image ACM Other conferences

WWW '17: Proceedings of the 26th International Conference on World Wide Web

April 2017

1678 pages

ISBN:9781450349130

General Chairs:
Rick Barrett
W3Events
,
Rick Cummings
Murdoch University
,
Program Chairs:
Eugene Agichtein
Emory University
,
Evgeniy Gabrilovich
Google Research

Copyright © 2017 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

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Published: 03 April 2017

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WWW '17: 26th International World Wide Web Conference

April 3 - 7, 2017

Perth, Australia

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WWW '17 Paper Acceptance Rate 164 of 966 submissions, 17%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Ni ZQian YYao ZZhang S(2022)Understanding the Adoption of Dietary Interventions Within a Chinese Autism Online Community: A Diffusion of Innovations PerspectiveHealth Communication10.1080/10410236.2022.2048469(1-12)Online publication date: 8-Mar-2022
https://doi.org/10.1080/10410236.2022.2048469
Bailey SZhang YRamesh AGolbeck JGetoor L(2020)A Structured and Linguistic Approach to Understanding Recovery and Relapse in AAACM Transactions on the Web10.1145/342320815:1(1-35)Online publication date: 5-Nov-2020
https://dl.acm.org/doi/10.1145/3423208

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