• 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

推特、脸书和麦克米伦癌症援助组织官网(Macmillan.org.uk)上关于肺癌话题的社交动态。

The social dynamics of lung cancer talk on Twitter, Facebook and Macmillan.org.uk.

作者信息

Taylor Joanna, Pagliari Claudia

机构信息

eHealth Research Group, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG UK.

出版信息

NPJ Digit Med. 2019 Jun 10;2:51. doi: 10.1038/s41746-019-0124-y. eCollection 2019.

DOI:10.1038/s41746-019-0124-y
PMID:31304397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6557847/
Abstract

People with lung cancer and others affected by the condition are using social media to share information and support, but little is known about how these behaviours vary between different platforms. To investigate this, we extracted posts from Twitter (using relevant hashtags), the Lung Cancer Support Group on Facebook and the Macmillan.org.uk lung cancer discussion forum for a single month. Interaction Process Analysis revealed that all three platforms were used more for giving than seeking information, opinion or suggestions. However, interaction types (including sentiment) varied between platforms, reflecting their digital architectures, user-base and inclusion of a moderator. For example, a higher percentage of information-seeking and sentiment marked the Macmillan.org.uk, compared with Twitter and the Facebook Group. Further analysis of the messages using a four-dimensional typology of social support revealed that emotional and informational support types were most prevalent on the Macmillan.org.uk forum, closely followed by the Facebook Group. Contrary to expectations, Twitter posts showed the most companionship support, reflecting the use of hashtags as user-generated signals of community belonging and interests. Qualitative analysis revealed an unanticipated sub-category of spiritual support, which featured uniquely in the Lung Cancer Support Group on Facebook. There was little evidence of trolling or stigma, although some users remarked that lung cancer was unfairly resourced compared with other cancers. These findings provide new insights about how people affected by lung cancer use social media and begin to elucidate the value of different platforms as channels for patient engagement and support, or as potential research data sources.

摘要

肺癌患者及其他受该疾病影响的人正在利用社交媒体分享信息并相互支持,但对于这些行为在不同平台之间如何变化却知之甚少。为了对此进行调查,我们在一个月内从推特(使用相关主题标签)、脸书上的肺癌支持小组以及Macmillan.org.uk肺癌讨论论坛提取了帖子。互动过程分析表明,所有这三个平台更多地用于提供信息,而非寻求信息、意见或建议。然而,互动类型(包括情绪)在不同平台之间有所不同,这反映了它们的数字架构、用户群体以及是否有管理员。例如,与推特和脸书小组相比,Macmillan.org.uk上寻求信息和带有情绪标记的帖子比例更高。使用社会支持的四维类型学对这些信息进行的进一步分析表明,情感支持和信息支持类型在Macmillan.org.uk论坛上最为普遍,脸书小组紧随其后。与预期相反,推特帖子显示出最多的陪伴支持,这反映了主题标签被用作由用户生成的社区归属感和兴趣的信号。定性分析揭示了一个意外的精神支持子类别,它在脸书上的肺癌支持小组中具有独特的特征。几乎没有证据表明存在恶意捣乱或污名化现象,尽管一些用户指出与其他癌症相比,肺癌获得的资源不公平。这些发现为受肺癌影响的人如何使用社交媒体提供了新的见解,并开始阐明不同平台作为患者参与和支持的渠道或潜在研究数据源的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/a4e5e769bcb8/41746_2019_124_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/846256060246/41746_2019_124_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/b768b923d3cc/41746_2019_124_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/a4e5e769bcb8/41746_2019_124_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/846256060246/41746_2019_124_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/b768b923d3cc/41746_2019_124_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496a/6557847/a4e5e769bcb8/41746_2019_124_Fig3_HTML.jpg

相似文献

1
The social dynamics of lung cancer talk on Twitter, Facebook and Macmillan.org.uk.推特、脸书和麦克米伦癌症援助组织官网(Macmillan.org.uk)上关于肺癌话题的社交动态。
NPJ Digit Med. 2019 Jun 10;2:51. doi: 10.1038/s41746-019-0124-y. eCollection 2019.
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
Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook.平台对公共卫生传播的影响:一项关于推特和脸书上信息设计与受众参与度的比较性全国研究。
JMIR Infodemiology. 2022 Dec 20;2(2):e40198. doi: 10.2196/40198. eCollection 2022 Jul-Dec.
4
The Use of Social Media to Express and Manage Medical Uncertainty in Dyskeratosis Congenita: Content Analysis.先天性角化不良症中利用社交媒体表达和管理医学不确定性:内容分析。
JMIR Infodemiology. 2024 Jan 15;4:e46693. doi: 10.2196/46693.
5
Examining the Influence on Perceptions of Endometriosis via Analysis of Social Media Posts: Cross-sectional Study.通过社交媒体帖子分析探讨对子宫内膜异位症认知的影响:横断面研究
JMIR Form Res. 2022 Mar 18;6(3):e31135. doi: 10.2196/31135.
6
Between alternative and traditional social platforms: the case of gab in exploring the narratives on the pandemic and vaccines.在替代社交平台与传统社交平台之间:以Gab为例探讨关于疫情和疫苗的叙事
Front Sociol. 2023 Jul 17;8:1143263. doi: 10.3389/fsoc.2023.1143263. eCollection 2023.
7
Dementia Research on Facebook and Twitter: Current Practice and Challenges.脸书和推特上的痴呆症研究:现状与挑战。
J Alzheimers Dis. 2022;90(2):447-459. doi: 10.3233/JAD-220525.
8
Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study.通过分析推特和红迪网数据理解孤独感:比较研究
Interact J Med Res. 2025 Mar 14;14:e49464. doi: 10.2196/49464.
9
Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study.社交媒体在糖尿病管理中的应用:基于 Facebook、Twitter 和 Instagram 的用户参与因素观察性研究
J Med Internet Res. 2020 Sep 29;22(9):e21204. doi: 10.2196/21204.
10
Social media engagement analysis of U.S. Federal health agencies on Facebook.美国联邦卫生机构在脸书上的社交媒体参与度分析
BMC Med Inform Decis Mak. 2017 Apr 21;17(1):49. doi: 10.1186/s12911-017-0447-z.

引用本文的文献

1
Breathing together: A global hashtag analysis of #LungHealth on platform X (formerly Twitter).共同呼吸:对平台X(原推特)上#肺部健康#话题的全球标签分析。
Digit Health. 2025 Apr 16;11:20552076251335717. doi: 10.1177/20552076251335717. eCollection 2025 Jan-Dec.
2
Evaluating the User-Perceived Benefit of a Virtual Lung Cancer Patient Education and Support Community: LVNG With Lung Cancer.评估虚拟肺癌患者教育与支持社区(LVNG With Lung Cancer)的用户感知效益。
J Adv Pract Oncol. 2024 Jul 21:1-17. doi: 10.6004/jadpro.2024.15.8.8.
3
Overview and characterization of penile cancer content across social media platforms.

本文引用的文献

1
Lung Cancer Stigma across the Social Network: Patient and Caregiver Perspectives.肺癌污名在社交网络中的体现:患者和照护者的观点。
J Thorac Oncol. 2018 Oct;13(10):1443-1453. doi: 10.1016/j.jtho.2018.06.015. Epub 2018 Jul 5.
2
#Deathbedlive: the end-of-life trajectory, reflected in a cancer patient's tweets.临终生活:反映在癌症患者推文里的临终轨迹。
BMC Palliat Care. 2018 Jan 22;17(1):17. doi: 10.1186/s12904-018-0273-9.
3
Lung Cancer Messages on Twitter: Content Analysis and Evaluation.肺癌在推特上的信息:内容分析与评估。
社交媒体平台上阴茎癌内容的概述与特征分析
Front Oncol. 2023 Dec 11;13:1301973. doi: 10.3389/fonc.2023.1301973. eCollection 2023.
4
Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.全球范围内甲状腺癌患者的观点与经历:Twitter数据的回顾性描述性研究
JMIR Cancer. 2023 Aug 2;9:e48786. doi: 10.2196/48786.
5
Understanding the Social Mechanism of Cancer Misinformation Spread on YouTube and Lessons Learned: Infodemiological Study.理解 YouTube 上癌症错误信息传播的社会机制及相关教训:信息流行病学研究。
J Med Internet Res. 2022 Nov 14;24(11):e39571. doi: 10.2196/39571.
6
Oncofertility and Fertility Preservation in Cancer Patients Across the Twitterverse.癌症患者的肿瘤生育力与生育力保存:推特世界的观察。
Front Endocrinol (Lausanne). 2022 Jun 29;13:926668. doi: 10.3389/fendo.2022.926668. eCollection 2022.
7
Social Media and the Quest for Equity and Diversity in Oncology: On Safe Spaces and the Concept of the Public Physician.社交媒体与肿瘤学中的公平与多样性追求:论安全空间与公众医生理念。
JCO Oncol Pract. 2022 Aug;18(8):572-577. doi: 10.1200/OP.21.00762. Epub 2022 Jul 14.
8
Understanding the Lived Experiences of Patients With Melanoma: Real-World Evidence Generated Through a European Social Media Listening Analysis.了解黑色素瘤患者的真实生活经历:通过欧洲社交媒体倾听分析得出的真实世界证据
JMIR Cancer. 2022 Jun 13;8(2):e35930. doi: 10.2196/35930.
9
Understanding the lived experience of lung cancer: a European social media listening study.理解肺癌患者的生存体验:一项欧洲社交媒体聆听研究。
BMC Cancer. 2022 Apr 30;22(1):475. doi: 10.1186/s12885-022-09505-4.
10
Digital health interventions in palliative care: a systematic meta-review.姑息治疗中的数字健康干预措施:一项系统的元综述。
NPJ Digit Med. 2021 Apr 6;4(1):64. doi: 10.1038/s41746-021-00430-7.
J Am Coll Radiol. 2018 Jan;15(1 Pt B):210-217. doi: 10.1016/j.jacr.2017.09.043. Epub 2017 Nov 15.
4
A pattern-matched Twitter analysis of US cancer-patient sentiments.一项对美国癌症患者情绪的模式匹配推特分析。
J Surg Res. 2016 Dec;206(2):536-542. doi: 10.1016/j.jss.2016.06.050. Epub 2016 Jun 25.
5
Attitudes and Stereotypes in Lung Cancer versus Breast Cancer.肺癌与乳腺癌中的态度和刻板印象
PLoS One. 2015 Dec 23;10(12):e0145715. doi: 10.1371/journal.pone.0145715. eCollection 2015.
6
Social Media Use in Chronic Disease: A Systematic Review and Novel Taxonomy.社交媒体在慢性病中的应用:系统评价与新型分类法。
Am J Med. 2015 Dec;128(12):1335-50. doi: 10.1016/j.amjmed.2015.06.015. Epub 2015 Jul 6.
7
Stigma's Effect on Social Interaction and Social Media Activity.污名对社交互动和社交媒体活动的影响。
J Health Commun. 2015;20(11):1337-45. doi: 10.1080/10810730.2015.1018604. Epub 2015 Jun 18.
8
The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness.社交网络技术在在线健康促进中的作用:对影响干预效果的理论和实证因素的叙述性综述
J Med Internet Res. 2015 Jun 11;17(6):e141. doi: 10.2196/jmir.3662.
9
Does lung cancer attract greater stigma than other cancer types?肺癌比其他癌症类型更容易招致污名化吗?
Lung Cancer. 2015 Apr;88(1):104-7. doi: 10.1016/j.lungcan.2015.01.024. Epub 2015 Feb 7.
10
The digital health divide: evaluating online health information access and use among older adults.数字健康鸿沟:评估老年人对在线健康信息的获取与使用情况
Health Educ Behav. 2015 Apr;42(2):202-9. doi: 10.1177/1090198114547815. Epub 2014 Aug 25.