By Timothy GrahamA new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in ...
An analysis of two dozen prominent Facebook pages shows the RSP appears in 54 percent of political posts—nine times those of Nepali Congress—often with AI-generated images.
As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...
The blocking of Telegram, WhatsApp and YouTube in Russia and the revealing silence of some The Western left is fleeing Twitter, but not the Chinese communist dictatorship's web ...
The X algorithm’s promotion of conservative content may shift the political opinions of those who switch to its “For You” tab after previously using a purely chronological feed, a study published ...
Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
In case you had any doubt, Elon Musk’s X has an algorithm that favors conservative content posted by political activists over liberal content or posts by traditional news media accounts, according to ...
The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...
For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...
As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on ...
People often blame social media algorithms that prioritize extreme content for increasing political polarization, but this effect has been difficult to prove. Only the platform owners have access to ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
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