ArticleSocial science & medicine (1982)2021
Emergence of knowledge communities and information centralization during the COVID-19 pandemic.
Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- The worldwide impact of COVID-19 on cancer care: A meta-analysis of surveys published after the first wave of the pandemic.Frontiers in oncology · 2022Pooled it
- Fluctuations and extreme events in the public attention on Italian legislative elections.Scientific reports · 2024Article
- Infodemic: Challenges and solutions in topic discovery and data process.Archives of public health = Archives belges de sante publique · 2023Article
- Fine-grained detection on the public's multi-dimensional communication preferences in emergency events.Heliyon · 2023Article
- Understanding who talks about what: comparison between the information treatment in traditional media and online discussions.Scientific reports · 2023Article
- How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China.International journal of environmental research and public health · 2022Article
- The link between reported cases of COVID-19 and the Infodemic Risk Index: A worldwide perspective.Frontiers in sociology · 2022Article
- Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study.Digital healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs COVID-19 spreads worldwide, an infodemic - i.e., an over-abundance of information, reliable or not - spreads across the physical and the digital worlds, triggering behavioral responses which cause public health concern.
methodsWe study 200 million interactions captured from Twitter during the early stage of the pandemic, from January to April 2020, to understand its socio-informational structure on a global scale.
findingsThe COVID-19 global communication network is characterized by knowledge groups, hierarchically organized in sub-groups with well-defined geo-political and ideological characteristics. Communication is mostly segregated within groups and driven by a small number of subjects: 0.1% of users account for up to 45% and 10% of activities and news shared, respectively, centralizing the information flow.
interpretationContradicting the idea that digital social media favor active participation and co-creation of online content, our results imply that public health policy strategies to counter the effects of the infodemic must not only focus on information content, but also on the social articulation of its diffusion mechanisms, as a given community tends to be relatively impermeable to news generated by non-aligned sources.
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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.