Cyberattacks threaten the technical systems they target and also spark extensive social media discussions that can ...
The long-held Wall Street expectation that the global market for obesity drugs would reach $150 billion in the next decade is looking a lot less certain with U.S. prices falling for GLP-1 treatments ...
Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...
Bots are driving about one-third of social media discourse about the ICE operations in Minneapolis, according to data from PeakMetrics, a nonpartisan data intelligence company. Why it matters: Bots ...
The removal of advanced data from a popular internet resource has proven unpopular – The Athletic breaks down what happened ...
AI search sentiment is positive, but consistency isn’t. Data shows why volatility – not acronyms – is the real risk.
Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
After encouraging podcast listeners of the recently deceased Charlie Kirk to become online vigilantes in search of anyone “celebrating” Mr. Kirk’s death, Vice President JD Vance said last week: “We ...
Drawing on a corpus-driven discourse analysis approach, this paper examines the discursive strategies adopted by the spokespersons of China's Ministry of Foreign Affairs during regular press ...
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