• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

比较两个社交媒体平台上远程医疗的讨论:社交倾听分析

Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis.

作者信息

Shoults Catherine C, Dawson Leah, Hayes Corey, Eswaran Hari

机构信息

Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

出版信息

Telemed Rep. 2023 Aug 3;4(1):236-248. doi: 10.1089/tmr.2023.0008. eCollection 2023.

DOI:10.1089/tmr.2023.0008
PMID:37637375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10457608/
Abstract

BACKGROUND

Social media is used as a source of information and platform to discuss health care; however, there is little research on discussion of telehealth in social media. Past research has looked at individual platforms, but a comparison of discussion on two platforms (Reddit and Twitter) has not been performed. Understanding telehealth-related social media discourse and the differences between platforms may provide insights into how telehealth is characterized online and which platforms provide patient perspectives. The COVID-19 pandemic provides a unique case study to examine how social media users approached both Reddit and Twitter during an international health crisis. This study used natural language processing tools and two social media platforms to (1) characterize and contrast each platform's telehealth-related posts according to themes and (2) assess the frequency of telehealth and telehealth-related terms posts before and during the onset of the COVID-19 pandemic.

METHODS

We collected 6 years (2016 through 2021) of social media posts from Twitter and Reddit. The themes of the corpus were extracted using hashtags, subreddits, and Latent Dirichlet Allocation (LDA) and were analyzed using descriptive statistics.

RESULTS

Both Twitter and Reddit showed exponential growth in the use of the term "telehealth" and telehealth-related terms in early 2020. The use of telehealth-related terms and discussion of COVID-19 coincided in both social media sites; however, other themes were discussed, including how to use telehealth. Reddit LDA clusters showed greatest usage of "telehealth" when associated with using or suggesting telehealth for receiving therapy, counseling, or psychoanalysis while Twitter focused on sharing telehealth news, products, and services.

DISCUSSION

Twitter and Reddit had extensive growth in the use of telehealth-related terms after the COVID-19 pandemic. Twitter and Reddit showed themes connecting COVID-19 to telehealth, especially in reference to services, therapy, and counseling, however, Reddit had more discussion suggesting use of telehealth services or requesting peer insights into how to use telehealth as compared with Twitter, which appeared more focused on telehealth as a business or product.

摘要

背景

社交媒体被用作获取信息和讨论医疗保健的平台;然而,关于社交媒体中远程医疗讨论的研究很少。过去的研究关注的是单个平台,但尚未对两个平台(Reddit和Twitter)上的讨论进行比较。了解与远程医疗相关的社交媒体话语以及平台之间的差异,可能有助于深入了解远程医疗在网络上的特点,以及哪些平台能提供患者视角。新冠疫情提供了一个独特的案例研究,以考察在国际卫生危机期间社交媒体用户如何使用Reddit和Twitter。本研究使用自然语言处理工具和两个社交媒体平台来:(1)根据主题对每个平台上与远程医疗相关的帖子进行特征描述和对比;(2)评估新冠疫情爆发前和期间远程医疗及与远程医疗相关术语帖子的出现频率。

方法

我们收集了来自Twitter和Reddit的6年(2016年至2021年)社交媒体帖子。语料库的主题通过主题标签、子版块和潜在狄利克雷分配(LDA)提取,并使用描述性统计进行分析。

结果

Twitter和Reddit在2020年初“远程医疗”一词及与远程医疗相关术语的使用均呈指数增长。两个社交媒体平台上与远程医疗相关术语的使用和对新冠疫情的讨论同时出现;然而,还讨论了其他主题,包括如何使用远程医疗。Reddit的LDA聚类显示,当“远程医疗”与使用或建议使用远程医疗接受治疗、咨询或心理分析相关联时,其使用频率最高,而Twitter则侧重于分享远程医疗新闻、产品和服务。

讨论

新冠疫情后,Twitter和Reddit上与远程医疗相关术语的使用有广泛增长。Twitter和Reddit都显示出将新冠疫情与远程医疗联系起来的主题,特别是在服务、治疗和咨询方面,然而,与Twitter相比,Reddit有更多讨论建议使用远程医疗服务或寻求关于如何使用远程医疗的同行见解,Twitter似乎更关注远程医疗作为一种业务或产品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/3046a11e68ac/tmr.2023.0008_figure7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/08f44e3abadf/tmr.2023.0008_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/ae8f0e9fecc5/tmr.2023.0008_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/d1a776cbc417/tmr.2023.0008_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/b27ea95e8602/tmr.2023.0008_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/bd6b6ea3d1c1/tmr.2023.0008_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/cbfb8087fc11/tmr.2023.0008_figure6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/3046a11e68ac/tmr.2023.0008_figure7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/08f44e3abadf/tmr.2023.0008_figure1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/ae8f0e9fecc5/tmr.2023.0008_figure2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/d1a776cbc417/tmr.2023.0008_figure3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/b27ea95e8602/tmr.2023.0008_figure4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/bd6b6ea3d1c1/tmr.2023.0008_figure5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/cbfb8087fc11/tmr.2023.0008_figure6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b275/10457608/3046a11e68ac/tmr.2023.0008_figure7.jpg

相似文献

1
Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis.比较两个社交媒体平台上远程医疗的讨论:社交倾听分析
Telemed Rep. 2023 Aug 3;4(1):236-248. doi: 10.1089/tmr.2023.0008. eCollection 2023.
2
Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use-Associated Lung Injury Outbreak: Comparative Study.主题和情绪围绕着 2019 年电子烟和蒸气相关肺损伤爆发期间 Twitter 和 Reddit 上的蒸气:比较研究。
J Med Internet Res. 2022 Dec 13;24(12):e39460. doi: 10.2196/39460.
3
Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms.识别电子烟用户生成内容的主题:来自多个社交媒体平台的案例研究
J Med Internet Res. 2017 Jan 20;19(1):e24. doi: 10.2196/jmir.5780.
4
Topics Analysis of Reddit and Twitter Posts Discussing Inflammatory Bowel Disease and Distress From 2017 to 2019.2017年至2019年Reddit和Twitter上讨论炎症性肠病及痛苦的帖子主题分析
Crohns Colitis 360. 2021 Jul 7;3(3):otab044. doi: 10.1093/crocol/otab044. eCollection 2021 Jul.
5
Sexually Transmitted Disease-Related Reddit Posts During the COVID-19 Pandemic: Latent Dirichlet Allocation Analysis.COVID-19 大流行期间与性传播疾病相关的 Reddit 帖子:潜在狄利克雷分配分析。
J Med Internet Res. 2022 Oct 31;24(10):e37258. doi: 10.2196/37258.
6
Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia.Reddit上关于新冠疫情的观点:美国、英国、加拿大和澳大利亚的比较自然语言处理研究
JMIR Infodemiology. 2022 Sep 27;2(2):e36941. doi: 10.2196/36941. eCollection 2022 Jul-Dec.
7
Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study.社交媒体平台上用户对大麻二酚态度的比较:主题建模研究。
JMIR Public Health Surveill. 2023 Jan 11;9:e34132. doi: 10.2196/34132.
8
Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: Natural Language Processing Approach.利用社交媒体帮助了解新冠后症状患者报告的健康结果:自然语言处理方法。
J Med Internet Res. 2023 Sep 19;25:e45767. doi: 10.2196/45767.
9
Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing.审视 Reddit 上的大麻、烟草和蒸气电子烟讨论:使用自然语言处理的探索性方法。
Front Public Health. 2022 Jan 5;9:738513. doi: 10.3389/fpubh.2021.738513. eCollection 2021.
10
Analysis of Telehealth Discussion Trends on Reddit (2019-2022).Reddit上远程医疗讨论趋势分析(2019 - 2022年)
Telemed J E Health. 2024 Jun;30(6):e1790-e1797. doi: 10.1089/tmj.2023.0651. Epub 2024 Feb 23.

引用本文的文献

1
Use of #NutritionFacts to promote evidence-based nutrition information: X (formerly Twitter) hashtag analysis study.使用 #NutritionFacts 推广循证营养信息:X(前身为 Twitter)标签分析研究。
Front Public Health. 2023 Dec 6;11:1255706. doi: 10.3389/fpubh.2023.1255706. eCollection 2023.

本文引用的文献

1
Analysis of Caregiver Burden Expressed in Social Media Discussions.社交媒体讨论中体现的照顾者负担分析。
Int J Environ Res Public Health. 2023 Jan 20;20(3):1933. doi: 10.3390/ijerph20031933.
2
COVID-19 sentiment analysis using college subreddit data.利用大学子版块数据进行 COVID-19 情绪分析。
PLoS One. 2022 Nov 4;17(11):e0275862. doi: 10.1371/journal.pone.0275862. eCollection 2022.
3
Telehealth adoption during the COVID-19 pandemic: A social media textual and network analysis.COVID-19大流行期间远程医疗的采用情况:社交媒体文本与网络分析
Digit Health. 2022 Mar 31;8:20552076221090041. doi: 10.1177/20552076221090041. eCollection 2022 Jan-Dec.
4
Getting "clean" from nonsuicidal self-injury: Experiences of addiction on the subreddit r/selfharm.从非自杀性自伤中“戒瘾”:Reddit 社区 r/selfharm 上的成瘾体验。
J Behav Addict. 2022 Mar 21;11(1):128-139. doi: 10.1556/2006.2022.00005. Print 2022 Mar 28.
5
Social Media Discussions Predict Mental Health Consultations on College Campuses.社交媒体讨论可预测大学校园的心理健康咨询。
Sci Rep. 2022 Jan 7;12(1):123. doi: 10.1038/s41598-021-03423-4.
6
Telehealth utilization during the Covid-19 pandemic: A systematic review.新冠疫情期间的远程医疗应用:一项系统综述。
Comput Biol Med. 2021 Nov;138:104878. doi: 10.1016/j.compbiomed.2021.104878. Epub 2021 Sep 20.
7
Social media and its impact on health care.社交媒体及其对医疗保健的影响。
Ann Allergy Asthma Immunol. 2022 Feb;128(2):139-145. doi: 10.1016/j.anai.2021.09.014. Epub 2021 Sep 20.
8
Reddit Users' Experiences of Suicidal Thoughts During the COVID-19 Pandemic: A Qualitative Analysis of r/Covid19_support Posts.Reddit 用户在 COVID-19 大流行期间经历自杀念头:r/Covid19_support 帖子的定性分析。
Front Public Health. 2021 Aug 12;9:693153. doi: 10.3389/fpubh.2021.693153. eCollection 2021.
9
Using social media Reddit data to examine foster families' concerns and needs during COVID-19.利用社交媒体 Reddit 数据,考察新冠疫情期间寄养家庭的关切和需求。
Child Abuse Negl. 2021 Nov;121:105262. doi: 10.1016/j.chiabu.2021.105262. Epub 2021 Aug 10.
10
Natural Language Processing Insight into LGBTQ+ Youth Mental Health During the COVID-19 Pandemic: Longitudinal Content Analysis of Anxiety-Provoking Topics and Trends in Emotion in LGBTeens Microcommunity Subreddit.自然语言处理洞察 LGBTQ+ 青年在 COVID-19 大流行期间的心理健康:LGBTeens Microcommunity Subreddit 中焦虑话题和情绪趋势的纵向内容分析。
JMIR Public Health Surveill. 2021 Aug 17;7(8):e29029. doi: 10.2196/29029.