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title: CrediNet
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# CrediNet
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**CrediNet** is an organization developing Graph Machine Learning-based computational methods for Credibility Modelling on the Web.
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We develop billion-scale data webgraphs and use them to assess credibility levels of websites, which can be used downstream to augment Retrieval-Augmented Generation robustness and fact-checking.
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This involves large-scale web scraping and text processing, and developing model architectures to interpret the different types of signals we can find on the web (including structural, temporal and linguistic cues).
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- See also our [Github codebases](https://github.com/credi-net).
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