Public health messages during a global emergency through an online community: a discourse and sentiment analysis

被引:1
|
作者
Watkins, Megan [1 ,3 ]
Mallion, Jaimee S. [2 ]
Frings, Daniel [2 ]
Wills, Jane [1 ]
Sykes, Susie [1 ]
Whittaker, Andrew [1 ]
机构
[1] London South Bank Univ, Inst Hlth & Social Care, London, England
[2] London South Bank Univ, Sch Appl Sci, London, England
[3] Royal Coll Psychiatrists, Natl Collaborating Ctr Mental Hlth, London, England
来源
基金
美国国家卫生研究院;
关键词
Facebook (FB); online community; discourse; sentiment; longitudinal; COVID-19;
D O I
10.3389/fdgth.2023.1130784
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The growing popularity of social media and its ubiquitous presence in our lives brings associated risks such as the spread of mis- and disinformation, particularly when these may be unregulated in times of global crises. Online communities are able to provide support by enabling connection with others and also provide great potential for dynamic interaction and timely dissemination of information compared with more traditional methods. This study evaluates interactions within the Essex Coronavirus Action/Support Facebook private group, which set out to prevent the spread of COVID-19 infection by informing Essex residents of guidance and helping vulnerable individuals. At the outset, 18 community administrators oversaw the group, which attracted approximately 37,900 members. Longitudinal Facebook group interactions across five periods spanning the UK lockdowns 2020-2021 were analysed using psychological discourse analysis and supplementary computed-mediated analysis to further explore sentiment and linguistic features. The findings endorsed that the group provided a protected space for residents to express their feelings in times of crises and an opportunity to address confusion and concern. The effective communication of public health messages was facilitated by promoting desired interaction and the construction of group identities. Administrators worked with group members to achieve a shared understanding of others' perspectives and the COVID-19 evidence base, which led to a mobilisation of the provision of support in the community. This was accomplished through the application of rhetorical and interactional devices. This study demonstrates how online groups can employ discursive strategies to engage audiences, build cohesion, provide support, and encourage health protective behaviours. This has implications for public health teams in terms of designing, implementing, or evaluating such interventions.
引用
下载
收藏
页数:11
相关论文
共 50 条
  • [11] Sentiment Analysis to Measure Public Response to Online Education During Coronavirus Pandemic
    Almurtadha, Yahya
    Ghaleb, Mukhtar
    2021 IEEE NATIONAL COMPUTING COLLEGES CONFERENCE (NCCC 2021), 2021, : 1060 - 1064
  • [12] Building a global community of health for all: A positive discourse analysis of COVID-19 discourse
    Chan, Tayden Fung
    Yu, Yating
    DISCOURSE & COMMUNICATION, 2023, 17 (04) : 522 - 537
  • [13] Text Health Messages in Religious Discourse: Psycholinguistic Analysis
    Kostruba, Natalia
    PSYCHOLINGUISTICS, 2021, 30 (01): : 59 - 82
  • [14] Health Care Workers' Motivations for Enrolling in Massive Open Online Courses During a Public Health Emergency: Descriptive Analysis
    Jones, Jennifer
    Johnston, Jamie Sewan
    Ndiaye, Ngouille Yabsa
    Tokar, Anna
    Singla, Saumya
    Skinner, Nadine Ann
    Strehlow, Matthew
    Utunen, Heini
    JMIR MEDICAL EDUCATION, 2024, 10
  • [15] Support the global public health community
    Steele, Sandra
    Weerasinghe, Guyan
    Gang, Rebecca
    Zaheer, Muhammad Usman
    VETERINARY RECORD, 2020, 186 (17)
  • [16] Anti-Chinese Sentiment in Latin America: An Analysis of Online Discourse
    Armony, Ariel C.
    Velasquez, Nicolas
    JOURNAL OF CHINESE POLITICAL SCIENCE, 2015, 20 (03) : 319 - 346
  • [17] Anti-Chinese Sentiment in Latin America: An Analysis of Online Discourse
    Ariel C. Armony
    Nicolás Velásquez
    Journal of Chinese Political Science, 2015, 20 : 319 - 346
  • [18] Sentiment Analysis of Weibo Posts on Public Health Emergency with Feature Fusion and Multi-Channel
    Pu H.
    Wei Z.
    Zhanpeng Z.
    Yuxin W.
    Haoyu F.
    Data Analysis and Knowledge Discovery, 2021, 5 (11): : 68 - 79
  • [19] Monkeypox: balancing response and future preparedness during a global public health emergency
    Thornton, Ian
    Gandhi, Gian
    BMJ GLOBAL HEALTH, 2022, 7 (10):
  • [20] Ascertaining Public Opinion Through Sentiment Analysis
    Sathya, V
    Venkataramanan, Anush
    Tiwari, Anmol
    Daksan, Dev P. S.
    PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019), 2019, : 1139 - 1143