Protecting Truth in the Digital Age
We monitor, analyze, and combat disinformation to preserve the integrity of public discourse.
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Memory baggage affects both sinners and complainants in sexual assault cases for years, but a new study sheds new light on this long-standing misunderstood topic. Researchers at University College Dublin and University College Cork conducted a breakthrough experiment using high-fidelity video simulations to capture both parties’ experiences in a scenario…
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The phenomenon of permeated belief in misinformation and inauthentic statements has evolved significantly over time, and these shifts are not without scientific backing. A study conducted by Washington State University researchers highlights that tens of percent of male individuals in the United States consume news without an active engagement with it, often believing healthier, scientific claims. This passive approach to media consumption is closely linked to the perception of): Young Men’s Passive Media Consumption and Misinformation Beliefs: Over 72.3% of U.S. males in the 18-29 age bracket do not actively engage with their social media platforms, leading them to believe…
Academic Research: A New Solution for Detecting AI-Generated Video Cornell computer scientists have uncovered a groundbreaking method for identifying AI-generated footage through a novel technique. The researchers, including renowned computer scientist Peter Michael and assistant professor Abe Davis, developed a service called “Noise-Coded Illumination,” which hides information about the unmanipulated video content in the least noticeable way possible. This technique, currently in preprint form, is set to be presented at SIGGRAPH, a leading conference in the gaming and video content industry, in an upcoming iteration. Understanding the Innovation: Hiding Verification Data The Noise-Coded Illumination approach involves embedding subtle, low-fidelity patterns…
