ArticleInternational journal of environmental research and public health2022
Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- Trust Barriers and Vulnerabilities in Older Adults' Telemedicine Adoption: Scoping Review.Interactive journal of medical research · 2026Review
- Mapping risk communication practices in public health emergencies: a scoping review and comparison with Italian regional pandemic plans.BMC public health · 2026Article
- Student-created digital artefacts for health promotion and disease prevention: A scoping review.The South African journal of physiotherapy · 2026Article
- Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic.Journal of medical Internet research · 2025Article
- Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes.Frontiers in public health · 2025Article
- Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review.Interactive journal of medical research · 2024Article
- Government-Nongovernmental Organization (NGO) Collaboration in Macao's COVID-19 Vaccine Promotion: Social Media Case Study.JMIR infodemiology · 2024Article
- Impacts of Self-Efficacy on Food and Dietary Choices during the First COVID-19 Lockdown in China.Foods (Basel, Switzerland) · 2022Article
- Living through the COVID-19 pandemic in Mauritius: mental well-being and dependence on Facebook.Discover psychology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 outbreak has caused significant stress in our lives, which potentially increases frustration, fear, and resentful emotions. Managing stress is complex, but helps to alleviate negative psychological effects. In order to understand how the public coped with stress during the COVID-19 pandemic, we used Macao as a case study and collected 104,827 COVID-19 related posts from Facebook through data mining, from 1 January to 31 December 2020. Divominer, a big-data analysis tool supported by computational algorithm, was employed to identify themes and facilitate machine coding and analysis. A total of 60,875 positive messages were identified, with 24,790 covering positive psychological themes, such as "anti-epidemic", "solidarity", "hope", "gratitude", "optimism", and "grit". Messages that mentioned "anti-epidemic", "solidarity", and "hope" were the most prevalent, while different crisis stages, key themes and media elements had various impacts on public involvement. To the best of our knowledge, this is the first-ever study in the Chinese context that uses social media to clarify the awareness of solidarity. Positive messages are needed to empower social media users to shoulder their shared responsibility to tackle the crisis. The findings provide insights into users' needs for improving their subjective well-being to mitigate the negative psychological impact of the pandemic.
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