Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality.
Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality.
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DOI：
10.1111/acer.13906
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发表时间：
2019-01
期刊：
影响因子：
--
通讯作者：
Graham AL
中科院分区：
文献类型：
--
作者：
Cohn AM;Amato MS;Zhao K;Wang X;Cha S;Pearson JL;Papandonatos GD;Graham AL
很少有互联网戒烟计划专门解决在戒烟尝试期间饮酒的影响，尽管它在复吸中的共同作用。本研究使用主题建模来描述在线戒烟社区中最流行的关于酒精的主题，在戒烟尝试的背景下对酒精使用表达的负面情绪的流行率（即，在戒烟尝试期间应该限制或避免酒精），以及网络内用户社交连接性导致的主题差异程度。数据分析来自一个更大的互联网戒烟计划的在线社区的帖子，时间跨度为2012年1月1日至2015年5月31日，包括814，258个在线帖子的记录。包含酒精相关内容的帖子（n = 7，199）通过监督机器学习文本分类进行编码，以确定帖子是否表达了在戒烟尝试的背景下对饮酒的负面情绪。相关主题建模（CTM）被用来确定一组10个主题的基础上，在酒精相关的帖子中出现的单词的频率至少有1%的患病率;分布的负面情绪和用户的社交网络连接进行了检查，在最突出的主题。CTM中出现了三个突出的主题（患病率≥ 10%），其不同的主题是（1）渴望和诱惑;（2）尼古丁成瘾和酗酒之间的平行关系;（3）戒烟里程碑的庆祝性讨论，包括“虚拟”饮酒和祝酒。大多数话题倾向于对酒精的非负面情绪。每个主题的流行程度因用户在网络中的社会联系而异。未来的工作应该检查，如果在互联网干预的结果得到改善，通过定制社交网络内容，以匹配用户的特征，主题和网络行为。
Few Internet smoking cessation programs specifically address the impact of alcohol use during a quit attempt, despite its common role in relapse. This study used topic modeling to describe the most prevalent topics about alcohol in an online smoking cessation community, the prevalence of negative sentiment expressed about alcohol use in the context of a quit attempt (i.e., alcohol should be limited or avoided during a quit attempt) within topics, and the degree to which topics differed by user social connectivity within the network. Data were analyzed from posts from the online community of a larger Internet cessation program, spanning January 1, 2012 to May 31, 2015 and included records of 814,258 online posts. Posts containing alcohol-related content (n = 7,199) were coded via supervised machine-learning text classification to determine whether the post expressed negative sentiment about drinking in the context of a quit attempt. Correlated Topic Modeling (CTM) was used to identify a set of 10 topics of at least 1% prevalence based on the frequency of word occurrences among alcohol-related posts; the distribution of negative sentiment and user social network connectivity were examined across the most salient topics. Three salient topics (with prevalence ≥ 10%) emerged from the CTM, with distinct themes of (1) cravings and temptations; (2) parallel between nicotine addiction and alcoholism; and (3) celebratory discussions of quit milestones including “virtual” alcohol use and toasts. Most topics skewed toward non-negative sentiment about alcohol. The prevalence of each topic differed by users’ social connectivity in the network. Future work should examine if outcomes in Internet interventions are improved by tailoring social network content to match user characteristics, topics, and network behavior.
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影响因子：
1.8
作者：
Graham AL;Carpenter KM;Cha S;Cole S;Jacobs MA;Raskob M;Cole-Lewis H
通讯作者：
Cole-Lewis H
影响因子：
4.2
作者：
Kahler, Christopher W.;Borland, Ron;Cummings, K. Michael
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Cummings, K. Michael
影响因子：
4.7
作者：
Kahler, Christopher W.;Spillane, Nichea S.;Metrik, Jane
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Metrik, Jane
影响因子：
120.7
作者：
Le Cook, Benjamin;Wayne, Geoff Ferris;Flores, Michael
通讯作者：
Flores, Michael
影响因子：
3.5
作者：
Cunningham, John A.;van Mierlo, Trevor;Fournier, Rachel
通讯作者：
Fournier, Rachel