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
Dissemination
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
ModaFact dataset with Event Factuality and Modality in Italian
Authors: Rovera Marco, Cristoforetti, Serena, Tonelli Sara ModaFact is a textual dataset annotated with Event Factuality and Modality in Italian. ModaFact’s goal is to model in a joint way factuality and modality values of event-denoting expressions in text. Original texts (sentences) … Read More
ModaFact: Multi-paradigm Evaluation for Joint Event Modality and Factuality Detection
Authors: Rovera Marco, Cristoforetti, Serena, Tonelli Sara Factuality and modality are two crucial aspects concerning events, since they convey the speaker’s commitment to a situation in discourse as well as how this event is supposed to occur in terms 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
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
Creators: Description: SemEval-2024 Task 8 is focused on multigenerator, multidomain, and multilingual black-box machine-generated text detection. Such a detection is important for preventing a potential misuse of large language models (LLMs), the newest of which are very capable in generating … Read More