GDELT Project
PulseAugur coverage of GDELT Project — every cluster mentioning GDELT Project across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New TKGE model BSCA enhances fact inference with biquaternionic space and attention
Researchers have developed a new Temporal Knowledge Graph Embedding (TKGE) model called Biquaternionic Space with Complex-valued Attention (BSCA). This model aims to improve the inference of missing facts in evolving kn…
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Quantamentry enhances data transparency with source-linked numbers and MCP server
Quantamentry has launched a new system that enhances data transparency by displaying the source and date for every number presented on its macro dataset pages. This system, built using public data from organizations lik…
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New LLM pipeline analyzes media bias and framing in news articles
Researchers have developed a new pipeline for analyzing media bias and framing in online news articles. This system groups articles by topic and event, then annotates them with named entities and sentiment. The pipeline…
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New AI framework predicts market volatility with limited data
Researchers have developed a new framework called Anomaly-Augmented Multi-Signal Fusion (AAMSF) to predict extreme market volatility, particularly in scenarios with limited labeled data. This semisupervised approach com…
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HawkesLLM framework tackles semantic uncertainty in agentic text simulations
Researchers have developed HawkesLLM, a new framework designed to manage semantic uncertainty in agentic text-simulation systems. This framework separates temporal influence modeling from text generation, representing t…