fake-news

ARG-tech secures funding to combat fake news

We’re delighted to announce that we have been successful in securing UKRI funding to help combat fake news during the COVID-19 pandemic. The project, in collaboration with Elena Musi from the University of Liverpool, aims to help the public identify “semi-fake news” and build “fake news immunity”. “Semi-fake news” is information that uses selective existing […]

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We’re delighted that our survey of the field of Argument Mining is just out with Computational Linguistics. It provides the most up-to-date review currently accessible and is available now online. Abstract. Argument Mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language. Understanding argumentative structure makes it […]

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We’re excited to announce that we’ve been successful in a recent Defence and Security Accelerator programme run by the Defence Science & Technology Laboratory. The way that an individual engages in dialogue is as unique to them as their fingerprint. So can we automatically identify individuals from their discourse behaviour? This is the idea now […]

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OVA provides a drag-and-drop interface for analysing textual arguments. It is reminiscent of a streamlined Araucaria, except that it is designed to work with web pages, and in a browser rather than requiring local installation. It also natively handles AIF structures, and supports real-time collaborative analysis. The public release of OVA2 is now available, and a user […]

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