ArticleJournal of medical Internet research2020
Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
141 citing papers in PubMed.
- Temporal Dynamics of Influenza-Associated Anxiety Symptom Linguistic Markers on Weibo (2023-2024): Observational Study.JMIR infodemiology · 2026Observational
- What drives emotional escalation in crisis talk? Collectivenism, topics, and LLM-assisted measurement on Zhihu.Frontiers in psychology · 2026Article
- Will there be new trends in the public's attention to express services in the post-COVID-19 era?PloS one · 2026Article
- A bimodal longitudinal investigation on changes in sentiments over social media interactions owing to COVID-19 pandemic.Scientific reports · 2025Article
- Context-based sentiment analysis using a BiGRU DistilBERT fusion model for COVID-19 tweets.Scientific reports · 2025Article
- Bibliometric Insights Into the Infodemic: Global Research Trends and Policy Responses: Quantitative Research.JMIR medical informatics · 2025Article
- Social Media as an Emotional Barometer: Bidirectional Encoder Representations From Transformers-Long Short-Term Memory Sentiment Analysis on the Evolution of Public Sentiments During Influenza A on Sina Weibo.Journal of medical Internet research · 2025Article
- Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study.Journal of medical Internet research · 2025Article
- Visualizing YouTube Commenters' Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making.JMIR infodemiology · 2025Article
- Investigating the Influencing Factors and Correlation Between Popularity and Emotion of Public Opinion During Disasters: Evidence from the "7.20" Rainstorm in China.Behavioral sciences (Basel, Switzerland) · 2025Article
- Article
- Does declining income caused by the COVID-19 pandemic affect Chinese individuals' future risky decision-making and intertemporal choices? A construal level perspective.Frontiers in psychology · 2025Article
- Driving forces and obstacles analysis of urban high-quality development in Chengdu.Scientific reports · 2024Article
- Effects of COVID-19 Illness and Vaccination Infodemic Through Mobile Health, Social Media, and Electronic Media on the Attitudes of Caregivers and Health Care Providers in Pakistan: Qualitative Exploratory Study.JMIR infodemiology · 2024Article
- Understanding the "Infodemic" Threat: A Case Study of the COVID-19 Pandemic.Korean journal of family medicine · 2024Article
- Picture analysis of billboards and infographic graphics advertising COVID-19 on promoting preventive behaviors and taking vaccination against the Coronavirus disease pandemic.Scientific reports · 2024Article
- Article
- Analysis of Pharmaceutical Companies' Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public.Behavioral sciences (Basel, Switzerland) · 2024Article
- Article
- Can social media promote vaccination? Strategies and effectiveness of COVID-19 vaccine popularization on Chinese Weibo.Frontiers in public health · 2024Article
81 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media.
objectiveThis study aims to investigate and analyze the public's attention to events related to COVID-19 in China at the beginning of the COVID-19 epidemic (December 31, 2019, to February 20, 2020) through the Sina Microblog hot search list.
methodsWe collected topics related to the COVID-19 epidemic on the Sina Microblog hot search list from December 31, 2019, to February 20, 2020, and described the trend of public attention on COVID-19 epidemic-related topics. ROST Content Mining System version 6.0 was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis. We further described the hot topic keywords and sentiment trends of public attention. We used VOSviewer to implement a visual cluster analysis of hot keywords and build a social network of public opinion content.
resultsThe study has four main findings. First, we analyzed the changing trend of the public's attention to the COVID-19 epidemic, which can be divided into three stages. Second, the hot topic keywords of public attention at each stage were slightly different. Third, the emotional tendency of the public toward the COVID-19 epidemic-related hot topics changed from negative to neutral, with negative emotions weakening and positive emotions increasing as a whole. Fourth, we divided the COVID-19 topics with the most public concern into five categories: the situation of the new cases of COVID-19 and its impact, frontline reporting of the epidemic and the measures of prevention and control, expert interpretation and discussion on the source of infection, medical services on the frontline of the epidemic, and focus on the worldwide epidemic and the search for suspected cases.
conclusionsOur study found that social media (eg, Sina Microblog) can be used to measure public attention toward public health emergencies. During the epidemic of the novel coronavirus, a large amount of information about the COVID-19 epidemic was disseminated on Sina Microblog and received widespread public attention. We have learned about the hotspots of public concern regarding the COVID-19 epidemic. These findings can help the government and health departments better communicate with the public on health and translate public health needs into practice to create targeted measures to prevent and control the spread of COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.