Cross-platform social media analysis regarding ACL injury and surgery

被引:0
|
作者
Hasley, Hunter L. [1 ,4 ]
Bukowiec, Lainey G. [1 ]
Zaifman, Jay M. [1 ]
Malik, Martin [1 ]
Batko, Brian [2 ]
Kissin, Yair D. [3 ]
Kelly, Michael [3 ]
机构
[1] Hackensack Meridian Sch Med, Nutley, NJ USA
[2] Rutgers New Jersey Med Sch, Dept Orthopaed, Newark, NJ USA
[3] Hackensack Univ, Med Ctr, Dept Orthoped, Hackensack, NJ USA
[4] Hackensack Meridian Sch Med, 551 Ctr St 203, Nutley, NJ 07110 USA
来源
CURRENT ORTHOPAEDIC PRACTICE | 2023年 / 34卷 / 06期
关键词
Social Media; ACL Surgery; Knee; Ligament and tendon repair/reconstruction; Sports medicine; PATIENT;
D O I
10.1097/BCO.0000000000001229
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Background: Anterior cruciate ligament (ACL) injury affects a broad patient population, but there is limited knowledge on how ACL injury is discussed across social media platforms. This study aims to develop an extensive snapshot of the social media milieu for understanding who uses social media platforms, what topics users discuss, and how these platforms vary regarding ACL injury and surgery.Methods: We utilized a qualitative, descriptive design with quantitative statistical analysis including Kruskal-Wallis tests and Fisher's Exact tests with post hoc analyses to examine new posts across Facebook, Instagram, Twitter, and TikTok using ACL-specific search terms from August 2021 to January 2022. Posts were analyzed by authorship, content characterization, and engagement.Results: Across social media sites, 760 posts were examined involving ACL surgery and injury. There was statistically significant difference among the platforms when comparing categories of authorship (P<0.001). There were statistically significant differences where physicians (P<0.001) and patients (P<0.001) posted, with physicians representing 20.6% and 19.5% of posts on Facebook and Twitter, respectively. TikTok displayed the highest patient authorship (83.5%) and greatest content engagement. There were also significant differences among platforms regarding content characterization (P<0.001).Conclusions: This study breaks down a snapshot of social media revolving around ACL injury and surgery demonstrating differences in authorship, content, and engagement of posts across platforms. These findings demonstrate the frequent use of social media by patients to address unmet clinical needs and can help surgeons and patients connect on the same platforms.Level of Evidence: Level IV.
引用
收藏
页码:296 / 301
页数:6
相关论文
共 50 条
  • [1] Cross-platform modeling of users' behavior on social media
    Gu, Haiqian
    Wang, Jie
    Wang, Ziwen
    Zhuang, Bojin
    Bian, Wenhao
    Su, Fei
    2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 183 - 190
  • [2] Visual cross-platform analysis: digital methods to research social media images
    Pearce, Warren
    Ozkula, Suay M.
    Greene, Amanda K.
    Teeling, Lauren
    Bansard, Jennifer S.
    Omena, Janna Joceli
    Rabello, Elaine Teixeira
    INFORMATION COMMUNICATION & SOCIETY, 2020, 23 (02) : 161 - 180
  • [3] Cross-Platform Analysis of Mammography Narratives: A Comparative Study on Social Media Engagement
    Stirrat, Thomas
    Garner, Jonathan
    Tailor, Parth
    Weitz, Daniel
    Umair, Muhammad
    Akpolat, Yusuf T.
    JOURNAL OF PATIENT-CENTERED RESEARCH AND REVIEWS, 2025, 12 (01)
  • [4] Social media and Tourism: a cross-platform study of Indian DMOs
    Chandrasekaran, Shabana
    ShabbirHusain, R. V.
    Annamalai, Balamurugan
    CURRENT ISSUES IN TOURISM, 2023, 26 (16) : 2727 - 2744
  • [5] How Politicians Communicate in Social Media: A Cross-Platform Study
    de Oliveira, Lucas Santos
    Costa, Wesley
    Stancioli Vaz De Melo, Pedro Olmo
    Benevenuto, Fabricio
    PROCEEDINGS OF THE 28TH BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB, WEBMEDIA 2022, 2022, : 75 - 83
  • [6] Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis
    Wawrzuta, Dominik
    Klejdysz, Justyna
    Jaworski, Mariusz
    Gotlib, Joanna
    Panczyk, Mariusz
    VACCINES, 2022, 10 (08)
  • [7] An LSTM Model for Predicting Cross-Platform Bursts of Social Media Activity
    Bidoki, Neda Hajiakhoond
    Mantzaris, Alexander, V
    Sukthankar, Gita
    INFORMATION, 2019, 10 (12)
  • [8] Cross-Platform Social Event Detection
    Zaharieva, Maia
    Del Fabro, Manfred
    Zeppelzauer, Matthias
    IEEE MULTIMEDIA, 2015, 22 (03) : 14 - 25
  • [9] Building cross-platform media workgroup solutions
    Acker, DE
    SMPTE JOURNAL, 2000, 109 (03): : 200 - 204
  • [10] Uncovering the role of social media and cross-platform applications as tools for knowledge sharing
    Naeem, Muhammad
    VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS, 2019, 49 (03) : 257 - 276