ArticleMedicine, health care, and philosophy2021
Do we need the criminalization of medical fake news?
Article in Medicine, health care, and philosophy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- States, law, and the regulation of controversial health-related claims: consolidating a research agenda between disciplines and contexts.Wellcome open research · 2025Article
- Epidemic modeling for misinformation spread in digital networks through a social intelligence approach.Scientific reports · 2024Article
- Medical Misinformation in Polish on the World Wide Web During the COVID-19 Pandemic Period: Infodemiology Study.Journal of medical Internet research · 2024Article
- Neuromyths and knowledge about intellectual giftedness in a highly educated multilingual country.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncontrolled access to information on the Internet has many advantages, but it also leads to the phenomenon of fake news. Fake news is dangerous in many spheres, including that of health. For example, we are facing an increase in the amount of vaccine hesitancy. This has been w considered by the World Health Organization in 2019 as one of the greatest threats to public health. This specific phenomenon is linked with the spread of information on the Internet around that issue. In this paper, I discuss a proposition of new crime, which has the aim of fighting medical fake news by stopping its spread. This proposition should be considered only if other non-criminal measures are inefficient. The proposal is "Whoever publicly disseminates information evidently discrepant with medical knowledge is subject to a penalty."
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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.