Analyzing conversations on vaccine rollout, efficacy, local and national covid case rates, and other high-profile topics surrounding the pandemic, can help healthcare administrators discover trends and bring more-in-depth insights to light. For example, what patient groups are being targeted by these online campaigns? What are their main concerns about the vaccine and how are those concerns likely to manifest at healthcare facilities? From these conversations, tools such as identity vectors can help categorize the accounts spreading the information into Real, Fake or Bad. With the healthcare industry vulnerable to many types of disinformation campaigns, it’s vital to have an understanding of these efforts as they could threaten the credibility of a facility, its staff and patients as well as public health on a broader scale.
Fake news travels fast, making it important for those in the healthcare industry to monitor false information as it spreads online. With so much content available at our fingertips, it can be difficult to differentiate the real conversations from the fake; but with monitoring and detection, there’s a possibility of stopping the spread in its tracks. Familiarizing yourself with audience behavior can help identify red flags, helping to catch false narratives that could threaten your facility, staff and community sooner rather than later.
About the author: Dan Brahmy is the Co-founder and CEO of Cyabra, a SaaS platform that uses AI to measure impact and authenticity within online conversations. Prior to Cyabra, Dan served as a Senior Strategy Consultant at Deloitte Digital and a summer Business Associate at Google EMEA. Since founding Cyabra, Dan and his team have helped brands analyze conversations and unravel hidden insights to identify and categorize disinformation, deepfakes, and the types of accounts they’re coming from (real, bad, or fake). Dan received his B.A. in Business Administration and Marketing from IDC Herzliya.
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Wayne Webster
Now we will allow computers to tell us what is fake news
April 12, 2021 10:02
AI, artificial intelligence, is a misnomer. As far as any of us know there are no chip based entities developing independent and unique complex thoughts. There is no AI. What exists is machine learning. We show a machine thousands of images of breast cancer. Images that were proven by humans to be breast cancer. The machine does what it does best. It quickly compares and regurgitates what it was told. There is no independent thought or reasoning going on. Now we are told "AI" will be used to tell us what information is fake and what isn't. This same machine learning will identify fake from true because a human told it that something is fake or true. The entire concept that machine learning is a way to predict whether something is fake or true is total rubbish and should be avoided at all costs. When the marketing people start promoting advanced software to replace human common sense, look out.
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