Why Smart People Fall for False Information and What to do About It

UCSF – “In a post-truth world, this false belief researcher offers a simple three-step recipe for building trust and finding common ground. Hint: It starts by recognizing you might be wrong. America has a misinformation problem. It’s in our news feeds, on our social media timelines, and at our kitchen tables. It’s driving wedges between friends and family — and sharp political divides.  UC San Francisco Psychiatry Professor Joseph Pierre, MD, has spent decades working with patients with delusions and mental illness, while also writing about delusion-like beliefs held by otherwise healthy people. In his new book, False: How Mistrust, Disinformation, and Motivated Reasoning Make Us Believe Things that Aren’t True. Pierre reveals how many of us are more susceptible than we think to false beliefs. We wanted to find out why — and ask the million-dollar question: What should you do when a loved one falls for misinformation?”

See also TechCrunch: “TikTok on Wednesday announced the public launch of Footnotes, a crowdsourced fact-checking system similar to X’s and Meta’s Community Notes feature. The technology will initially roll out to U.S. users as a pilot program, allowing contributors to both write and rate Footnotes on TikTok videos All U.S. TikTok users are able to view the notes that have been rated as helpful and submit their own ratings in return. The company first announced its plans to test Footnotes in April. At the time, it described the feature as a way to give the community more context around TikTok’s content. Like X’s Community Notes and other similar programs, TikTok uses a bridging algorithm that tries to find consensus among people who typically have different views. If both sides rate a note as helpful, then it’s more likely to be true, according to this method. This also guards against brigading, where one side tries to sway a decision their way by voting similarly…”

Posted in: AI, Internet, Knowledge Management, Legal Research, Search Engines, Social Media