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On Twitter, journalists and politicians have more credibility on vaccines than medical experts, study finds

INDIA New England News News at Northeastern Black, Indigenous, and other non-white people in the United States are more likely to rely on trusted voices within their own communities for information about the pandemic and the coronavirus vaccine, finds a new study led by researchers from Northeastern. And, at least on Twitter, all people are more receptive to information shared by journalists and politicians on both the left and right than by epidemiologists, scientists, and medical professionals. These  findings released amid rampant distrust of the COVID-19 vaccine, especially among Black people, as doses start to be distributed across the country are the result of a study that tracked the behaviors and interactions of 1.5 million people on Twitter to determine who they consistently turned to for COVID-19 information.

Jan 6 ought to shape the future of tech : How the Capitol siege could lead to Big Tech reform

Jan. 6 ‘ought to shape the future of tech’: How the Capitol siege could lead to Big Tech reform MarketWatch 1/9/2021 © AFP via Getty Images Big Tech is bracing for a regulatory reckoning following the siege of the Capitol on the same day Democrats won control of the Senate. The riotous actions of a pro-Trump mob amid a shift in legislative power sharpened the focus on the outsize roles Facebook Inc. Twitter Inc. and other tech companies play in the country’s social fabric and economy. “Jan. 6 ought to shape the future of tech as we know it,” Bhaskar Chakravorti, dean of global business at Tuft University’s Fletcher School, told MarketWatch. “The only way in which social media doesn’t continue to be weaponized to undermine democracy is by rethinking this critical piece [Section 230] that gave rise to the web as it is today and is the root of many of its evils. This puts the future of social-media regulation front and center of the Big Tech agenda.”

Geometric Deep Learning Advances Data Science

Geometric Deep Learning Advances Data Science
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