Let's Quit Together: Exploring Textual Factors Promoting Supportive Interactions in Online Cannabis Support Forums

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Kuang-Yuan Huang, Yoanna Long, Xiao Cui
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引用次数: 0

Abstract

There is an increasing number of cannabis users joining online cannabis support forums seeking social support for their withdrawal attempts. In this study we propose a research model focused on online cannabis support forums, hypothesizing about the effects of the textual features of the subject lines of discussion threads and thread-initiating messages on the quality and helpfulness of discussion threads. We tested the proposed model by analyzing 27,167 discussion threads downloaded from a large online support forum for cannabis quitters. The effectiveness of thread subject lines and the self-disclosure of emotion-related withdrawal symptoms in thread-initiating messages positively predicted the amount of informational and emotional support received in a thread. The self-disclosure of behavioral physical-related withdrawal symptoms and the diversity of self-disclosure information predicted informational support but not emotional support. Additionally, the amount of informational and emotional support received in a thread were positively associated with the thread initiator's continued discussions in the thread. Lastly, emotional support, but not informational support, predicted the overall helpfulness of a thread. Research and practical implications of the study's findings are discussed.
让我们一起戒烟:探索文本因素促进在线大麻支持论坛的支持互动
越来越多的大麻使用者加入在线大麻支持论坛,为他们的戒毒尝试寻求社会支持。在这项研究中,我们提出了一个关注在线大麻支持论坛的研究模型,假设讨论线程主题行和线程发起消息的文本特征对讨论线程的质量和有用性的影响。我们通过分析从一个大型大麻戒烟者在线支持论坛下载的27167条讨论线索来测试所提出的模型。线程主题线的有效性和线程启动信息中情绪相关戒断症状的自我表露正向预测线程收到的信息和情感支持的数量。行为性身体相关戒断症状的自我表露和自我表露信息的多样性预测信息支持,但不预测情感支持。此外,在一个线程中收到的信息和情感支持的数量与线程发起者在线程中继续讨论呈正相关。最后,情感支持,而不是信息支持,预测了一个线程的整体帮助。讨论了研究结果的研究和实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
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