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'Pre-bunk' tactics reduce public susceptibility to COVID-19 conspiracies and falsehoods

Credit: University of Cambridge
A short online game designed to fight conspiracies about COVID-19 boosts people s confidence in detecting misinformation by increasing their ability to perceive its manipulativeness compared to genuine news, according to a study.
Go Viral!, developed by the University of Cambridge s Social Decision-Making Lab in partnership with the UK Cabinet Office and media agency DROG, was launched last autumn as part of the UK government s efforts to tackle coronavirus falsehoods circulating online.
The five-minute game puts people in the shoes of a purveyor of fake pandemic news, encouraging players to create panic by spreading misinformation about COVID-19 using social media - all within the confines of the game. ....

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Eliminating bias from healthcare AI critical to improve health equity

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IMAGE: Artificial intelligence (AI)-driven healthcare has potential to transform medical decision-making and treatment, but AI algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients. In.
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Credit: Regenstrief Institute
INDIANAPOLIS Artificial intelligence (AI)-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
In a
JAMA Network Open Invited Commentary, Regenstrief Institute President and Chief Executive Officer and Indiana University School of Medicine Associate Dean for Informatics and Health Services Research Peter Embí, M.D., M.S., strongly stated the importance of algorithmovigilance to address inherent biases in healthcare algorithms and their deployment. Algorithmovigilance, a term coined by Dr. Embí, can be ....

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How social media and AI enable companies to track brand reputations in real-time

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Researchers from University of Maryland, North Carolina State University, National Taiwan University, Oxford University, Kings College London, and Perceptronics Solutions, Inc. published a new paper in the
Journal of Marketing that examines how artificial intelligence (AI)-based text analysis of social media can monitor the extent to which brand reputation rises and falls over time.
The study, forthcoming in the
Journal of Marketing, is titled Real-Time Brand Reputation Tracking using Social Media and is authored by Roland Rust, William Rand, Ming-Hui Huang, Andrew Stephen, Gillian Brooks, and Timur Chabuk.
Organizations brand reputations can rise and fall based on brand-related events. For example, when Goya CEO Robert Unanue suggested that the 2020 U.S. presidential election was fraudulent, that controversial assertion likely offended a large segment of the population. How can we tell? This research team demonstrates that using artificial intell ....

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Brand new physics of superconducting metals refuted by Lancaster physicists

Credit: Lancaster University
Lancaster scientists have demonstrated that other physicists recent discovery of the field effect in superconductors is nothing but hot electrons after all.
A team of scientists in the Lancaster Physics Department have found new and compelling evidence that the observation of the field effect in superconducting metals by another group can be explained by a simple mechanism involving the injection of the electrons, without the need for novel physics.
Dr Sergey Kafanov, who initiated this experiment, said: Our results unambiguously refute the claim of the electrostatic field effect claimed by the other group. This gets us back on the ground and helps maintain the health of the discipline. ....

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AI learns to type on a phone like humans

Credit: Jussi Jokinen/Finnish Center for Artificial Intelligence
Touchscreens are notoriously difficult to type on. Since we can t feel the keys, we rely on the sense of sight to move our fingers to the right places and check for errors, a combination of efforts we can t pull off at the same time. To really understand how people type on touchscreens, researchers at Aalto University and the Finnish Center for Artificial Intelligence (FCAI) have created the first artificial intelligence model that predicts how people move their eyes and fingers while typing.
The AI model can simulate how a human user would type any sentence on any keyboard design. It makes errors, detects them though not always immediately and corrects them, very much like humans would. The simulation also predicts how people adapt to alternating circumstances, like how their writing style changes when they start using a new auto-correction system or keyboard design. ....

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