ArticleEPJ data science2021
Flow of online misinformation during the peak of the COVID-19 pandemic in Italy.
Article in EPJ data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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Who cites it
28 citing papers in PubMed.
- Leveraging content producer networks and user perception to detect online discursive communities.Scientific reports · 2026Article
- Multi-scale analysis of the community structure of the Twitter discourse around the Italian general elections of September 2022.Scientific reports · 2024Article
- Entropy-based detection of Twitter echo chambers.PNAS nexus · 2024Article
- Decoding the News Media Diet of Disinformation Spreaders.Entropy (Basel, Switzerland) · 2024Article
- IRMA: the 335-million-word Italian coRpus for studying MisinformAtion.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2023Article
- Sustainable development goals as unifying narratives in large UK firms' Twitter discussions.Scientific reports · 2023Article
- The World Economy's Development After the COVID-19 Crisis: Sustainability and Stability vs. Quick Digital Growth.Journal of the knowledge economy · 2023Article
- The effect of disinformation about COVID-19 on consumer confidence: Insights from a survey experiment.Journal of behavioral and experimental economics · 2023Article
- Understanding the landscape of web-based medical misinformation about vaccination.Behavior research methods · 2023Article
- The COVID-19 Infodemic on Twitter: A Space and Time Topic Analysis of the Brazilian Immunization Program and Public Trust.Tropical medicine and infectious disease · 2022Article
- The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing.Royal Society open science · 2022Article
- Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation.Tropical medicine and infectious disease · 2022Article
- Emotional profiling and cognitive networks unravel how mainstream and alternative press framed AstraZeneca, Pfizer and COVID-19 vaccination campaigns.Scientific reports · 2022Article
- Risk Communication in the Alert Phase of the COVID-19 Pandemic: Analysis of News Flow at National and Global Levels.International journal of environmental research and public health · 2022Article
- Bow-tie structures of twitter discursive communities.Scientific reports · 2022Article
- A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy.BMC medical research methodology · 2022Article
- COVID-19-Related Social Isolation Predispose to Problematic Internet and Online Video Gaming Use in Italy.International journal of environmental research and public health · 2022Article
- Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election.EPJ data science · 2022Article
- Maximum entropy networks for large scale social network node analysis.Applied network science · 2022Article
- Twitter as an innovation process with damping effect.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has impacted on every human activity and, because of the urgency of finding the proper responses to such an unprecedented emergency, it generated a diffused societal debate. The online version of this discussion was not exempted by the presence of misinformation campaigns, but, differently from what already witnessed in other debates, the COVID-19 -intentional or not- flow of false information put at severe risk the public health, possibly reducing the efficacy of government countermeasures. In this manuscript, we study the SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-021-00289-4.
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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.