Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl A New Life for News: How AI Made Journalism More Human The consumption of information has experienced a quiet yet significant change in a world where algorithms appear to understand us better … Read More
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Democracy Shield: Europe’s Response to Putin’s “Tests”
Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl Democracy Shield: Europe’s Response to Putin’s “Tests” Europe’s democracies face a newly complex set of threats. In response, the European Parliament is proposing a new agency to safeguard the EU’s public sphere from the damaging impact of digital operations. Could the proposed FIMI agency be the digital protector for this new era? Information attacks, consistently traced back to Moscow, intensify before … Read More
Typographic Attacks in a Multi-Image Setting
Typographic Attacks in a Multi-Image Setting Large Vision-Language Models (LVLMs) are susceptible to typographic attacks, which are misclassifications caused by an attack text that is added to an image. In this paper, we introduce a multi-image setting for studying typographic … Read More
Climate and Technology: Achieving Sustainable Development in the Digital Era
Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl Climate and Technology: Achieving Sustainable Development in the Digital Era As algorithms approach autonomous importance and sustainable development shifts from optional to essential, a constant tension exists between innovation and regulation. The … Read More
Fine-grained Fallacy Detection with Human Label Variation
Fine-grained Fallacy Detection with Human Label Variation We introduce FAINA, the first dataset for fallacy detection that embraces multiple plausible answers and natural disagreement. FAINA includes over 11K span-level annotations with overlaps across 20 fallacy types on social media posts … Read More
LLMs vs Established Text Augmentation Techniques for Classification
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs? The generative large language models (LLMs) are increasingly being used for data augmentation tasks, where text samples are LLM-paraphrased and then used for classifier fine-tuning. … Read More
AI-CODE empowers media professionals to harness AI for good
Artificial intelligence holds immense potential to support journalism, fact-checking, and strategic communication — but only if used ethically and transparently. This video showcases the work of the AI-CODE project, which empowers media professionals to explore and adopt AI tools in … Read More
AI in journalism: The good, the bad, the ugly
Author: Xhoi Zajmi This article is part of our special report AI-CODE – Empowering Media Professionals against Disinformation. The rise and integration of AI in our daily lives is not a futuristic fantasy, and of course, journalism is not exempt. The … Read More
Between constructive dialogue and rage: Visualizing Bluesky posts with a new experimental data analyser
The Bluesky Data Analyzer Authors AI-CODE partner: Bahia Albrecht, Andy Giefer, Kay Macquarrie – Deutsche Welle Hateful speech is labeled into four categories: Racism, Religious, Sexism and Sexual Orientation. In addition, non-hateful and neutral posts are represented. The example shows … Read More
Transparency essential for developing trustworthy AI, says Gürtler
As Europe pursues innovation and competitiveness in AI, should AI be structured around human rights and sustainability; and does AI’s employment impact matter? Paula Gürtler deploys a moral compass. As artificial intelligence (AI) reshapes society, ethical questions are increasingly raised … Read More