Graphic shows 5 circles and dots for a single account. Most of the dots are in the non-hateful area. Some are outside the circles. Racism and Sexism have most of the dots.

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

Europe steps-up AI investment to counter fierce US-China competition

‘Game On’ for Europe? A €100 bn injection into France’s AI sector, the EU’s €200 bn for InvestAI, and €150 bn in venture capital for the EU AI Champions Initiative. The global AI race has reached a critical juncture, with … Read More

Fake climate news thriving as politics and AI turbocharge disinformation crisis

Cognitive warfare remains a key part of Russia’s military strategy, with an estimated annual budget reaching $4 billion. Extreme weather events will continue to trigger disinformation. False claims, conspiracy theories, and AI-generated content are expected to surge, driven by political … Read More

AI-driven Russian disinformation campaign targets German elections

Disinformation tactics similar to those used against the United States have been deployed, including using African media outlets for credibility and AI-generated testimonies in influence operations. A Russian influence operation known as “Storm-1516” has set up over 100 websites using … Read More

Fake news fightback needs open-source investigations, new media literacy strategy

People who frequently share fake news on social media tend to use words related to anger, power, religion, death, and money while using fewer words associated with family, friends, and ‘low arousal’ emotions. To counter extremism, a new era of … Read More

Press Release December 2024

The press release introduces the AI-CODE project, offering an overview of its tools and methodologies, outlining its objectives, and highlighting key activities and partners. The AI-CODE project is set to make a significant impact on the European media landscape by … Read More

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

  Creators:Macko, Dominik Moro, Robert Uchendu, Adaku Srba, Ivan Lucas, Jason Samuel Yamashita, Michiharu Tripto, Nafis Irtiza Simko, Jakub Bielikova, Maria   Description: High-quality text generation capability of latest Large Language Models (LLMs) causes concerns about their misuse (e.g., in … Read More

The rise and integration of artificial intelligence into our daily lives is no longer a futuristic fantasy, but new data shows AI in the media sector might do more harm than good.

Whether AI leads to better journalism is an ongoing debate, but more media companies across the world aren’t waiting to find out which side up new tech lands. The media sector is jumping on the trend and embracing the latest … Read More

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts

Creators Description:  In the realm of text manipulation and linguistic transformation, the question of authorship has been a subject of fascination and philosophical inquiry. Much like the Ship of Theseus paradox, which ponders whether a ship remains the same when … Read More