{"title":"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","authors":"Kuang-Yuan Huang, Yoanna Long, Xiao Cui","doi":"10.1145/3614178.3614181","DOIUrl":null,"url":null,"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.","PeriodicalId":46842,"journal":{"name":"Data Base for Advances in Information Systems","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Let's Quit Together: Exploring Textual Factors Promoting Supportive Interactions in Online Cannabis Support Forums\",\"authors\":\"Kuang-Yuan Huang, Yoanna Long, Xiao Cui\",\"doi\":\"10.1145/3614178.3614181\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":46842,\"journal\":{\"name\":\"Data Base for Advances in Information Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Base for Advances in Information Systems\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1145/3614178.3614181\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Base for Advances in Information Systems","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1145/3614178.3614181","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Let's Quit Together: Exploring Textual Factors Promoting Supportive Interactions in Online Cannabis Support Forums
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.