ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2021
Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment Analysis.
Article in European psychiatry : the journal of the Association of European Psychiatrists, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.Journal of epidemiology and global health · 2024Pooled it
- The effects of emotional contagion on fear of contagion/ transmission in communicable diseases: emotional epidemic.BMC psychology · 2026Article
- Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning-Based Sentiment Analysis.Journal of medical Internet research · 2025Article
- Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing.Health data science · 2024Article
- Understanding University Students' Perspectives towards Digital Tools for Mental Health Support: A Cross-country Study.Clinical practice and epidemiology in mental health : CP & EMH · 2024Article
- Spanish media coverage of youth mental health issues during the COVID-19 pandemic.BMC psychiatry · 2023Article
- Mental Health and COVID-19 in University Students: Findings from a Qualitative, Comparative Study in Italy and the UK.International journal of environmental research and public health · 2023Article
- The effect of social media and infodemic on mental health during the COVID-19 pandemic: results from the COMET multicentric trial.Frontiers in psychiatry · 2023Article
- Linguistic indicators for predicting the veracity of online health rumors.Frontiers in public health · 2023Article
- The Short-Term Consequences of COVID-19 on Mental Health: State of the Art from Available Studies.International journal of environmental research and public health · 2022Article
- The Psychiatric Consequences of Long-COVID: A Scoping Review.Journal of personalized medicine · 2022Article
- Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Were anxiety, depression and psychological distress associated with local mortality rates during COVID-19 outbreak in Italy? Findings from the COMET study.Journal of psychiatric research · 2022Article
- Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis.International journal of environmental research and public health · 2022Article
- Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations.Information processing & management · 2022Article
- Professionals' Digital Training for Child Maltreatment Prevention in the COVID-19 Era: A Pan-European Model.International journal of environmental research and public health · 2022Article
- Did we learn something positive out of the COVID-19 pandemic? Post-traumatic growth and mental health in the general population.European psychiatry : the journal of the Association of European Psychiatrists · 2022Article
- A Predictive Model of Pandemic Disaster Fear Caused by Coronavirus (COVID-19): Implications for Decision-Makers.International journal of environmental research and public health · 2022Article
- Emotional discourse analysis of COVID-19 patients and their mental health: A text mining study.PloS one · 2022Article
- The analysis of dynamic emotional contagion in online brand community.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe fight against the COVID-19 pandemic seems to encompass a social media debate, possibly resulting in emotional contagion and the need for novel surveillance approaches. In the current study, we aimed to examine the flow and content of tweets, exploring the role of COVID-19 key events on the popular Twitter platform.
methodsUsing representative freely available data, we performed a focused, social media-based analysis to capture COVID-19 discussions on Twitter, considering sentiment and longitudinal trends between January 19 and March 3, 2020. Different populations of users were considered. Core discussions were explored measuring tweets' sentiment, by both computing a polarity compound score with 95% Confidence Interval and using a transformer-based model, pretrained on a large corpus of COVID-19-related Tweets. Context-dependent meaning and emotion-specific features were considered.
resultsWe gathered 3,308,476 tweets written in English. Since the first World Health Organization report (January 21), negative sentiment proportion of tweets gradually increased as expected, with amplifications following key events. Sentiment scores were increasingly negative among most active users. Tweets content and flow revealed an ongoing scenario in which the global emergency seems difficult to be emotionally managed, as shown by sentiment trajectories.
conclusionsIntegrating social media like Twitter as essential surveillance tools in the management of the pandemic and its waves might actually represent a novel preventive approach to hinder emotional contagion, disseminating reliable information and nurturing trust. There is the need to monitor and sustain healthy behaviors as well as community supports also via social media-based preventive interventions.
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