Balancing the scales: AI between verification and disinformation
AI-based technologies are both a tool to combat disinformation and a means to amplify it. However, it would be misleading to reduce the phenomenon to a purely technical problem. Where are we? Where are we going?
AI in journalism: The differences between use, practice and adoption
One of the misconceptions about AI is the concept of ‘adoption’. In Science and Technology Studies (STS), adoption is about negotiating, appropriating, and domesticating tech into routines and identities. Use is just interaction; practice is integration into professional routines (it is not adoption but can lead to it).
The challenges of training journalists in AI
Journalists use AI technologies daily without necessarily understanding what’s going on behind the screen. From research to translation, transcription, and even automated content creation, AI is woven into the fabric of modern journalism. The question, then, is: What does it mean to train journalists on AI?
Q&A: How social media capture attention and how to resist these strategies
On social media, the attention economy exploits digital behaviours to maximise engagement. Resisting this constant pressure by adopting a critical approach and thoughtful usage is possible but requires more digital media literacy.
Rethinking core journalism skills in the age of AI
To ask what makes a reporter human is to ask what are the core skills of initial journalism training. This article attempts to identify the skills that are becoming obsolete and to highlight the human qualities that really make a difference. By focusing on curiosity, empathy and ethical storytelling, it aims to stimulate discussion about how journalism training needs to evolve to meet the demands of a changing media landscape in the AI age, while preserving the values that define the profession.
Understanding needs means understanding uses: The case of AI in journalism
The integration of artificial intelligence into journalism is often framed as a question of technological capability – what AI can do. But a more pressing question is: what do journalists actually need? This is not always easy to determine, as needs are often implicit, shaped by professional practices, workflows and constraints, rather than explicitly stated.
Beyond technology, an instrument of propaganda
Beyond its technical innovations, DeepSeek has the potential to contribute to the information disorders ecosystem. Its alignment with state propaganda does not make it an ideal candidate in terms of trust, transparency and credibility.
AI in the news production chain
The integration of AI into journalistic processes is transforming the way information is produced, processed and disseminated. Today, AI plays a role in every stage of the news production chain – from breaking news detection to distribution – while also supporting data collection, analysis and reporting.
