Dr Laurence Dierickx is a researcher in journalism studies with a professional background in data and computer journalism. Since 2026, she has held an MSCA COFUND fellowship at the University of Bergen (Norway) as part of the LEAD AI programme, and she sits on the editorial board of Digital Journalism.
She holds a Master’s degree in Information and Communication Science and Technology and a PhD in Information and Communication Science. Her dissertation examined the implementation of news automation in newsrooms through a socio-technical lens drawn from science and technology studies.
From 2022 to 2025, she was a guest researcher in the Department of Information Science and Media Studies at the University of Bergen. Her work there focused on user needs, professional practices, ethics and processes in fact-checking, with a view to developing responsible AI-based technology within the Nordic Observatory for Digital Media and Information Disorder (NORDIS). In 2024, she was a research fellow at the Digital Democracy Centre (DDC x TrygFonden) at the University of Southern Denmark, where she studied the use of large language models in fact-checking.
At the Université libre de Bruxelles (Belgium), she taught data and digital investigative journalism before taking charge of the course “Technological challenges in journalism”. In 2025, she was appointed interim lecturer in AI at the Department of Information and Communication Science. She is a member of the ReSIC and LaPIJ research centres. She also contributed to a research study on AI literacy in journalism for the JournalismAI programme at the London School of Economics.
Academic Publications / Publications
2026
- JournalismFrom normative principles to epistemic governance: A workflow-based analysis of European journalism ethics in datafied environments
- Postdigital Science and EducationA taxonomy of LLM-supported tasks for critical AI literacy in journalism
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Fojo Media Institute — Handbook, 5 chaptersFact-checking and verification as journalistic method
- What is a fact? How to arrive at the fact to check (pp. 112–122)
- Open-Source Intelligence (OSINT) (pp. 123–136)
- The growing challenges of computational propaganda (pp. 137–149)
- Using generative AI in fact-checking (pp. 150–161)
- From promise to practice: The limits of automated fact-checking (pp. 162–170)
- Emerging MediaUsing it but not trusting it: Technology acceptance and generative AI in European fact-checking
- International Journal of Human–Computer InteractionStrategic simplicity gets the most: Evaluating prompting techniques in non-expert AI-assisted fact-checking
- Information, Communication and SocietyWhat is a fact in the age of generative AI? Fact-checking as an epistemological lens
2025
- Elgar Encyclopedia of Political CommunicationNews Aggregation
- I2D – Information, données & documents (Cairn.info)Journalisme et devoir de vérité à l’épreuve de la désinformation et des contenus générés
- Information et Intelligence Artificielle (De Boeck Supérieur)Intelligence artificielle et journalisme: des règles pour garantir la qualité de l’information
- Journal of the Association for Information Science and Technology (JASIST)Debunking war information disorder: A case study in assessing the use of multimedia verification tools
2024
- Histories of Digital Journalism (Routledge)From bytes to bylines: A history of AI in journalism practices
- NOKOBIT Norsk konferanse for organisasjoners bruk av ITVeriDash: an AI-Driven, User-Centric Open Source Dashboard for Enhancing Multimedia Verification
- JournalismTransparency and fact-checking in open societies
- Emerging MediaOutsourcing, Augmenting, or Complicating: The Dynamics of AI in Fact-Checking Practices in the Nordics
- Ethics and Information TechnologyA Data-Centric Approach for Ethical and Trustworthy AI in Journalism
- Media and CommunicationScreens as Battlefields: Fact-Checkers’ Multidimensional Challenges in Debunking Russian-Ukrainian War Propaganda
- Lecture Notes in Computer Science (MISDOOM 2024)Striking the Balance in Using LLMs for Fact-Checking: A Narrative Literature Review
2023
- communication + 1Journalism and Fact-Checking Technologies: Understanding User Needs
- Disinformation in Open Online Media. MISDOOM 2023. Lecture Notes in Computer ScienceThe Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content
- International Journal of CommunicationAutomated Fact-Checking to Support Professional Practices: Systematic Literature Review and Meta-Analysis
- 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)AI in the newsroom: A data quality assessment framework for employing machine learning in journalistic workflows
- 2023 10th IEEE Swiss Conference on Data Science (SDS)Fine-Tuning Languages: Epistemological Foundations for Ethical AI in Journalism
- C+J DataJ Conference 2023The Ethical Dimensions of Data Quality for Automated Fact-Checking
Previous
- NORDISReport on Fact-Checkers' User Needs
- Les Cahiers du JounalismeL’adéquation aux usages, un remède contre l’échec
- Journal of Applied Linguistics and Professional PracticeBetween fear and confidence. The dual relationship between journalists and news automation
- JournalismNews automation, materialities, and the remix of an editorial process
- Equal TimesArtificial intelligence and journalism: a race with machines (EN, FR, ES)
- Les carnets du LaPIJJournalisme algorithmique: un état de l’art de la recherche
- Brazilian Journalism ResearchThe Social Construction of News Automation and the User Experience
- First MondayJournalists as end-users: Quality management principles applied to the design process of news automation
- Sur le journalismeInformation automatisée et nouveaux acteurs des processus journalistiques
- Proceedings of #COBCIBER6Automated news production within the uses and professional practices
- Computation + Journalism Symposium 2019Why News Automation Fails
- Terminal 122|2018Du statut d’objet technique à celui d’objet social dans le contexte de la production automatisée d’informations journalistiques
- Conference GIJC 2017/Investigative Journalism Education ConsortiumNews bot for the newsroom: how building data quality indicators can support journalistic projects relying on real-time open data
Blog posts / Billets
- Bad Metaphors: When Robots Became Agents (avec C.-G. Lindén)
- Le fait émergent, ou repenser ce qui fait le fait
- Part of the problem and part of the solution: the paradox of AI in fact-checking
- Fact-checking the war in Ukraine, or when the screens have become battlefields
- The Information Disorder Level (IDL) Index: An experiment to assess machine-generated content’s factuality
Press Review / Dans la presse
- Peut-on faire confiance aux réponses générées par IA dans les « aperçus » de Google ? Quel impact sur l’information ?
- IA : faut-il vraiment craindre le pire ?
- Comment les résumés IA nous baratinent
- Deepfakes, chatbots, images ou vidéos générées par IA : quelles sont les nouvelles obligations de transparence imposées par l’Union européenne depuis ce 2 août ?
- Connaissez-vous la "slopaganda", ou quand l’intelligence artificielle brouille les frontières de l’information politique ?
- Emma, Thomas et Arthur, vos avocats IA disponibles gratuitement ? Le site AILawyer (et les autres), un outil à manier avec prudence
- Super IA. Du lourd ou du flan ?
- Moltbook : le réseau social des IA, coup marketing ou début d'une dystopie technologique
- Quand le "mode IA" de Google valide une pluie de poissons générée par IA
- Intelligence artificielle, journalisme et désinformation
- Prompt: L’IA, nouvel outil pour les journalistes
- Så sprider Microsoft falska pedofil-anklagelser om vicepresident-kandidaten Tim Walz
- Here’s how European organisations are approaching ethical use of AI in journalism
- Review of RSF's new guidelines on using AI in journalism
- Une avalanche d’outils à découvrir, à maîtriser, et (peut-être) à utiliser
- Pourquoi le travail des femmes risque d’être plus impacté par l’intelligence artificielle que celui des hommes
- Tracking disinformation? These AI tools can help
- AI tools to detect disinformation – a selection for reporters and fact-checkers
- How AI can be used to fight disinformation
- L’intelligence artificielle prête à remplacer commentateurs et journalistes ?
- Vi trenger bedre verktøy mot falske nyheter
- Kunstig intelligens kan gi kunstig tillit
- Zeci de jurnaliști, înlocuiți de Microsoft cu Inteligența Artificială. Ar trebui să ne temem de ”jurnaliștii-robot”?
- Ecriture automatisée: que peut y gagner la presse régionale française ?
- Woran Journalismus-Roboter scheitern
- Lire l'article (en/fr/es)
- «Bonsoir, je suis une IA et voici les titres du 20h»: quand des robots présentent le JT
- Robot Journalism – We should not be afraid
- Un an avec un robot
- Intelligence artificielle et emploi: "La technologie n'est pas toute noire ou toute blanche"
- Are robots a threat or an opportunity for journalists?
- Tips on Teaching Data and Investigative Journalism
- Elszigetel a Facebook az értelmes vitától (Magyar Nemzet, Hu)
- Internet jak bańka mydlana (Prawy, Pl)
- Media w czasach postprawdy (SDP)
- Bxl'air bot: un robot surveille en direct la pollution
- Robots, amis ou ennemis ?
- Did a robot write this article? The upsides and downsides of automated journalism (BBC Blog)
- Warum Roboter schon bald die Drecksarbeit für Journalisten machen werden (Vice.com)
- Three reasons why you shouldn’t feel threatened by robot journalism (Global Editors Network)
- The ethical aspect of "robot journalism
- Faut-il avoir peur des robots-journalistes?
- Robot-rédacteur et méta-journaliste, la nouvelle équation gagnante?