Misinformation Alerts
Knowing what misinformation is being shared can help you generate effective messaging.
These insights are based on a combination of automated media monitoring and manual review by public health data analysts. Media data are publicly available data from many sources, such as social media, broadcast television, newspapers and magazines, news websites, online video, blogs, and more. Analysts from the Public Good Projects triangulate this data along with other data from fact checking organizations and investigative sources to provide an accurate, but not exhaustive, list of currently circulating misinformation.
Misinformation Alerts
Knowing what misinformation is being shared can help you generate effective messaging.
These insights are based on a combination of automated media monitoring and manual review by public health data analysts. Media data are publicly available data from many sources, such as social media, broadcast television, newspapers and magazines, news websites, online video, blogs, and more. Analysts from the Public Good Projects triangulate this data along with other data from fact checking organizations and investigative sources to provide an accurate, but not exhaustive, list of currently circulating misinformation.
Alerts are categorized as high, medium, and low risk.
- High risk alerts: Narratives with widespread circulation across communities, high engagement, exponential velocity, and a high potential to impact health decisions. Are often more memorable than accurate information.
- Medium risk alerts: Narratives that are circulating in priority populations and pose some threat to health. Potential for further spread due to the tactics used or because of predicted velocity. Often highlights the questions and concerns of people.
- Low risk alerts: Narratives that are limited in reach, don’t impact your community, or lack the qualities necessary for future spread. May indicate information gaps, confusion, or concerns.
In a now-removed but widely shared Facebook video, a man claims that the Oxford-AstraZeneca vaccine is an mRNA vaccine, and can make changes to the recipient’s genetic material. The Oxford-AstraZeneca vaccine is not an mRNA vaccine, and claims that such vaccines change genetic material have been repeatedly debunked by fact checking organizations and health authorities.
Recommendation: 
A widely shared article from an anti-vaccine group states that one-third of deaths reported to the CDC occurred within 48 hours of COVID-19 vaccination, implying that vaccination was the cause of death. This conclusion was made using data from the Vaccine Adverse Reporting System (VAERS). This post continues a trend of incorrectly using self-reported VAERS data to draw causal links between vaccines and adverse health events. The VAERS is a passive surveillance system in which any individual can self-report any health problem following self-reported immunization. VAERS is the official US vaccine adverse event reporting system, maintained and monitored by the U.S. Department of Health and Human Services. However, reports to the VAERS do not determine if a vaccine caused a reaction or death; if a report is found to have merit, it begins the first of many subsequent steps taken by health officials to investigate adverse events.
Recommendation: 
Claims that wearing a mask will cause respiratory complications are widespread, such as hypoxia and bacterial pneumonia. According to the CDC, there is no risk of hypoxia or pneumonia in healthy adults who wear a mask. And while bacteria can accumulate on masks over time, this risk is eliminated by switching out disposable masks or regularly washing reusable ones.
Recommendation:
A widely circulating post on social media states that increases in Sudden Infant Death Syndrome (SIDS) began after vaccines became more widely available in the 1950s. The post uses a quote from a discredited physician who has published now-discredited vaccine research. Vaccines have not been shown to cause SIDS. Health researchers have previously documented that anti-vaccine organizations and advocates routinely reach out to mothers who have lost infants due to SIDS. Understandably intense feelings of grief and loss are capitalized upon to recruit women to the anti-vaccine movement, by claiming vaccines caused their child’s death rather than accidental or unknown causes. This tactic is expected to increase as more women receive COVID-19 vaccines.
Recommendation:
A registered nurse practitioner has claimed in a video that mRNA technology, such as that found in COVID-19 vaccines, will teach the body to attack itself, leading to the development of autoimmune disease. The video has been seen hundreds of thousands of times on social media.
Recommendation:
A video was live-streamed on Facebook and has received tens of thousands of views, in which a woman records a screen share of data reported to the Vaccine Adverse Events Reporting System (VAERS). The woman incorrectly claims that COVID-19 vaccines cause adverse health reactions, including deaths. The VAERS is a passive surveillance system in which any individual can self-report any health problem following self-reported immunization. VAERS is the official US vaccine adverse event reporting system, maintained and monitored by the U.S. Department of Health and Human Services. However, reports to the VAERS do not determine if a vaccine caused a reaction or death; if a report is found to have merit, it begins the first of many subsequent steps taken by health officials to investigate adverse events.
Recommendation:
In a post that has been widely shared on social media, a former New York Times reporter is claiming that a person is 300 to 900 times more likely to die from a COVID-19 vaccine than the flu vaccine. This conclusion was made using data from the Vaccine Adverse Reporting System (VAERS). This post continues a trend of incorrectly using self-reported VAERS data to draw causal links between vaccines and adverse health events. The VAERS is a passive surveillance system in which any individual can self-report any health problem following self-reported immunization. VAERS is the official US vaccine adverse event reporting system, maintained and monitored by the U.S. Department of Health and Human Services. However, reports to the VAERS do not determine if a vaccine caused a reaction or death; if a report is found to have merit, it begins the first of many subsequent steps taken by health officials to investigate adverse events.
Recommendation:
Anti-vaccine groups are capitalizing on the death of a 58-year-old Virginia resident hours after receiving the first dose of the Pfizer/BioNTech COVID-19 vaccine. Reactions on social media claim that she was coerced into receiving the vaccine, that she is a "guinea pig" for pharmaceutical companies, and that the CDC has too many conflicts of interest to objectively investigate vaccine related adverse events. The death is under investigation, but to-date health officials have stated there appears to be no link between the vaccine and her death.
Recommendation:
Social media users are sharing a new website that compiles both anecdotal reports of adverse events following COVID-19 immunization and information reported to the Vaccine Adverse Event Reporting System (VAERS). VAERS is a passive surveillance system in which any individual can self-report any health problem following immunization, maintained and monitored by the U.S. Department of Health and Human Services. The new website is not affiliated with any health authority or research institution. The site directs its users to search for adverse events in its searchable database, and provides videos, some several hours long, taking viewers through individual self-reported events or exploring news stories on adverse events. Videos are hosted on sites where fact checking is left up to individual users. The site itself is linked to a network of sites known to promote conspiracy theories.
Recommendation:
COVID-19 vaccines of indeterminate origin are appearing for sale online. Legitimate COVID-19 vaccines are not advertised or sold online.
Recommendation:
Alerts are categorized as high, medium, and low risk.
- High risk alerts: Narratives with widespread circulation across communities, high engagement, exponential velocity, and a high potential to impact health decisions. Are often more memorable than accurate information.
- Medium risk alerts: Narratives that are circulating in priority populations and pose some threat to health. Potential for further spread due to the tactics used or because of predicted velocity. Often highlights the questions and concerns of people.
- Low risk alerts: Narratives that are limited in reach, don’t impact your community, or lack the qualities necessary for future spread. May indicate information gaps, confusion, or concerns.
Vaccine Misinformation Guide
Get practical tips for addressing misinformation in this new guide. Click image to download.
Vaccine Misinformation Guide
Get practical tips for addressing misinformation in this new guide. Click image to download, or see highlights.