Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59869

Fighting Together: Discovering the Antecedents of Social Support and Helpful Discussion Threads in Online Support Forums for Cannabis Quitters

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Title:Fighting Together: Discovering the Antecedents of Social Support and Helpful Discussion Threads in Online Support Forums for Cannabis Quitters
Authors:Huang, Kuang-Yuan
Long, Yuan
Keywords:Social Media and Healthcare Technology
Information Technology in Healthcare
Cannabis quitters
Machine learning
Online support forum
show 1 moreSocial support
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Date Issued:08 Jan 2019
Abstract:An increasing number of people are using online cannabis support forums as a source of help for their cannabis quit attempts. In order to assist support seekers dealing with emotional and physical-behavioral difficulties associated with their cannabis abstinence, it is important to identify the factors that facilitate social support provisions by forum members, as well as the overall helpfulness of discussion threads. In this combined qualitative and quantitative study, we propose a model hypothesizing and testing these factors, based on variables generated using Natural Language Processing and Machine Learning techniques. The result shows that linguistic and content characteristics of thread-initiating messages are important predictors of the receptions of informational and emotional support from other forum members, and of the overall helpfulness of discussion threads.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59869
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.522
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Social Media and Healthcare Technology


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