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Study identifies a widespread phenomenon linked to fake news susceptibility by geox

A recent study conducted by researchers from Fudan University and Syracuse University, published in Computers in Human Behavior , sheds light on a troubling trend in today’s digital media landscape. The study explores how the “News-Finds-Me” perception—a belief that important news will naturally reach individuals through social media without active effort—contributes to overconfidence in identifying

ByHackTechJanuary 25, 20250Comments

News

Study identifies genes, pathways altered during relaxation response (2013) by bfoks

A new study from investigators at the Benson-Henry Institute for Mind/Body Medicine at Massachusetts General Hospital (MGH) and Beth Israel Deaconess Medical Center (BIDMC) finds that elicitation of the relaxation response — a physiologic state of deep rest induced by practices such as meditation, yoga, deep breathing and prayer — produces immediate changes in the

ByHackTechSeptember 12, 20230Comments

News

Study identifies which countries spend the most time staring at their screens by dev_tty01

TechSpot is about to celebrate its 25th anniversary. TechSpot means tech analysis and advice you can trust. The big picture: Researchers estimate that today’s worldwide data creation rate sits at more than 325 million terabytes per day. So how much time do we spend actually consuming it? A recent study answers that question by analyzing the average

ByHackTechApril 29, 20230Comments

News

AI identifies race from xray, researchers don’t know how by aunterste

SummaryBackgroundPrevious studies in medical imaging have shown disparate abilities of artificial intelligence (AI) to detect a person’s race, yet there is no known correlation for race on medical imaging that would be obvious to human experts when interpreting the images. We aimed to conduct a comprehensive evaluation of the ability of AI to recognise a…

ByHackTechMay 17, 20220Comments

News

AI Identifies 160 Possible ‘Crews’ of Criminal Cops in Chicago by seo-speedwagon

A new study has used machine learning to identify over 100 possible “crews” of officers in the Chicago Police Department responsible for a disproportionate share of police misconduct and violence. The study—authored by researchers at Northwestern University and the Invisible Institute and published on Wednesday in PLOS ONE—identified approximately 160 groups of officers, referred to as…

ByHackTechMay 6, 20220Comments

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