A two-day plenary meeting of the EU-funded AI-CODE consortium took place in Thessaloniki, hosted by the Centre for Research & Technology Hellas (CERTH), where partners reviewed project progress, aligned on key performance indicators and discussed the implementation, validation and user-testing … Read More
Dissemination
Bots into the Fediverse dataset
Bots into the Fediverse This dataset contains anonymized features for bot detection on Mastodon (Fediverse). It was created for the accompanying paper and consists of accounts labeled as bot or non-bot, collected from publicly accessible content via the Mastodon Application … Read More
Debunking the digital chaos: Building trust in the age of AI-driven disinformation
In a year defined by deepfakes, AI-generated influence campaigns, and an increasingly polarised information space, understanding how trust can be protected online has never been more urgent. Viktoras Daukšas, head of Debunk.org, joins Euractiv’s Xhoi Zajmi to explore what stood … Read More
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches Retrieval of previously fact-checked claims is a well-established task, whose automation can assist professional fact-checkers in the initial steps of information verification. Previous works have mostly tackled the … Read More
The artificial intelligence revolution
Artificial intelligence (AI) is no longer a distant future — it is reshaping how information is produced, consumed, and trusted across the globe. This comprehensive article explores the transformative impact of AI technologies on the media landscape, from automated news … Read More
Comparing Specialised Small and General Large Language Models on Text Classification
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance When solving NLP tasks with limited labelled data, researchers typically either use a general large language model without further update, or use … Read More
AI-CODE Project Launches User Testing for Next-Generation Tools
The AI-CODE Project has begun a new phase of user testing and co-creation workshops to refine its next-generation suite of AI-based tools aimed at supporting journalists, fact-checkers, and researchers in countering disinformation and bolstering trust in news media, with sessions … Read More
Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking
Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking Natural Language Processing and Generation systems have recently shown the potential to complement and streamline the costly and timeconsuming job of professional fact-checkers. In this work, we lift several constraints of … Read More
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of LLM
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models In the age of social media and generative AI, the ability to automatically assess the credibility of online content has become increasingly critical, … Read More
Misinformation is eroding global journalism, but legacy media maintains authority
The article reports that while misinformation and disinformation circulating online are undermining global journalism by fragmenting audiences, pressuring newsrooms and eroding trust in some outlets, traditional legacy media still retains a degree of authority and credibility compared with unverified sources; … Read More