Coronavirus Misinformation: How You Can Fight Back
When it comes to fighting the new coronavirus threat, the truth is one of the few things more crucial than a gallon of hand sanitizer. But these days, both can be hard to find if you don't know where to look.
"Humans are wired to respond to emotional triggers and share misinformation if it reinforces existing beliefs and prejudices."
While it's only been around for a few months, COVID-19 has already produced an ever-expanding universe of conspiracy theories about its origins, its spread, and the danger it poses. Meanwhile, fraudulent cures and myths about treatments threaten to upend public health efforts to contain the epidemic.
But ordinary citizens aren't helpless. Research offers insight into why we're susceptible to misinformation, and armies of fact-checkers can tell us what's real and what isn't. Meanwhile, experts are offering tips about how we can effectively promote facts whether we're chatting with a stranger at the post office or challenging a cousin on Facebook.
Here a four-part strategy to help you fight back against the Coronavirus Misinformation Industrial Complex:
Understand How Bogus Beliefs Work
That crank on the Internet may be your neighbor. Or maybe even you.
According to a 2014 study published in JAMA Internal Medicine, nearly half of American surveyed said they believed in at least one grand medical conspiracy theory. Twenty percent agreed, for example, that cell phones cause cancer but officials won't do anything because of corporate pressure, and 37 percent believed an elaborate conspiracy theory about the suppression of natural cancer cures. "Although it is common to disparage adherents of conspiracy theories as a delusional fringe of paranoid cranks, our data suggest that medical conspiracy theories are widely known, broadly endorsed, and highly predictive of many common health behaviors," the study authors write.
In an interview with leapsmag, study lead author Eric Oliver said we're drawn to "conspiracy theories that correspond with our intuitions."
"In the case of medicine, I think there are three big factors: Fears of Big Pharma -- a large percentage of Americans have a distorted sense of what pharmaceutical companies are capable of -- fears of government, and fears of contagion," said Oliver, a political scientist at the University of Chicago.
Why does it matter if people believe in conspiracy theories about coronavirus? As Oliver's study notes, conspiracy theorists are less likely to rely on traditional medicine, get flu shots, or go to annual check-ups. They could be especially susceptible to disease and inappropriate treatment.
Joseph Uscinski, a professor of political science at the University of Miami who studies conspiracies, elaborated on how this works. "You could have people who think coronavirus is fake and say, 'I'm not going to wash my hand or take preventive action. This is the media making something up, or this is just a plot for the pharmaceutical companies to sell a vaccine.' If you have a lot of people acting that way, that increases the ability of the virus to spread."
Get the Facts from the Experts
How can you avoid being a misinformation source? Educate yourself to make sure you're not spouting fake facts yourself with the instant ease that the Internet allows. "Humans are wired to respond to emotional triggers and share misinformation if it reinforces existing beliefs and prejudices," writes misinformation scholar Claire Wardle in a 2019 Scientific American commentary. That means you too.
For coronavirus facts, experts recommend looking to the websites of government agencies (such as the CDC, World Health Organization and National Institutes of Health) and top-tier medical organizations (Mayo Clinic, Infectious Disease Society of America).
Respected mainstream news outlets such as The New York Times and National Public Radio offer extensive original reporting on the coronavirus threat. While some news outlets still require users to pay to get full access to stories, others have dropped their paywalls and made coronavirus content free to all. These include the Seattle Times, Bloomberg News and the medical news site Stat.
Locally, look to your region's public health department, news outlets, and medical organizations such as hospitals and health plans.
The Poynter Institute, a journalism watchdog outfit, offers a helpful guide to evaluating what you read about coronavirus. And a paid service called NewsGuard offers a browser plug-in that provides a "trust rating" for popular news sites. "Our goal is to teach news literacy–and we hope all websites will earn green ratings and be generally reliable to consumers," the NewsGuard site says.
"As we combat misinformation, we also need to be mindful of the fact that we're dealing with a lot of uncertainty."
Remember, however, that scientists and physicians are learning more about the coronavirus each day. Assumptions about the virus will change as more information comes in, and there are still many questions about crucial topics like its fatality rate and the ways the virus spreads. You should expect that reliable sources – and experts – may provide conflicting information.
"As we combat misinformation, we also need to be mindful of the fact that we're dealing with a lot of uncertainty," says Boston cardiologist and author Dr. Haider Warraich of Brigham and Women's Hospital.
Double-Check Suspicious Information
No, the coronavirus wasn't created in a Winnipeg laboratory. You can't kill it by drinking bleach or frolicking in snow. And, as the French Health Ministry helpfully advised on Twitter, "Non, La cocaïne NE protège PAS contre le #COVID19" – "No, cocaine does NOT prevent Covid-19."
Facebook, YouTube and Twitter are all trying to remove fake or misleading coronavirus content, The New York Times reported, and "all said they were making efforts to point people back to reliable sources of medical information." Still, as the Times reports, bogus cures and conspiracy theories are rampant across social media and beyond.
Fortunately, there are many fact-checking resources. Turn to them for ammunition before you amplify – or challenge -- a coronavirus claim that seems suspicious.
Helpful myth-busting resources include:
** The venerable fact-checking site Snopes.com, which has checked multiple coronavirus claims. (Example: No, garlic water won't cure coronavirus.)
** The World Health Organization. (Example: No, mosquito bites can't transmit coronavirus)
** FactCheck.org. (Example: No, a disgraced Harvard scientist wasn't arrested for creating the coronavirus.)
** PolitiFact.org. (Example: No, the coronavirus is not just "the common cold.")
** The International Fact-Checking Network, accessible via the social-media hashtags #CoronaVirusFacts and #DatosCoronaVirus.
Correct Others With Caution
On social media, anger and sarcasm make up a kind of common tongue. But sick burns won't force misinformed people see the light. Instead, try a gentler approach.
"The most important thing would be to first acknowledge their anxieties rather than first trying to rationalize away their misbeliefs," said the University of Chicago's Oliver. "People embrace misinformation and conspiracy theories because they are afraid and trying to make sense of the world. Their beliefs serve a strong emotional function and will be defended as such. Trying to rationalize with them or argue with them may be counterproductive if one can't first put them at some ease."
Turn yourself into a source of coronavirus facts and a bulwark against the fake, misleading, and fraudulent.
So what can you do? "There will never be a magic bullet," the University of Miami's Uscinski said, but one approach is to highlight reliable information from sources that the person trusts, such as news outlets (think MSNBC or Fox News) or politicians.
However, don't waste your time. "If you have people who are believing in the craziest thing, they're probably not going to offer a rational conversation," he said. And, he added, there's an alternative to correcting others: Turn yourself into a source of coronavirus facts and a bulwark against the fake, misleading, and fraudulent. "We can be preventive and inoculate people against these beliefs," he said, "by flooding the information environment with proper information as much as possible."
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.