AI frameworks for fake news detection | Contact | Digital Competence Centre | University of Groningen

peter.suber's bookmarks 2025-03-12

Summary:

"[Q] You have chosen to publish your code and dataset in the repository DataverseNL. To what extent can open access to research data help to counter misinformation and fake news?

[A] Open research data and code are crucial in every field, including fake news detection. The spread of misinformation can cause panic, uncertainty, and even real-world harm. By adopting an open science approach, researchers can collaborate more effectively, validate findings, and accelerate advancements in misinformation detection. Publishing datasets and code in open repositories like DataverseNL ensures Transparency & Reproducibility, Efficiency & Progress, and Stronger Countermeasures."

Link:

https://www.rug.nl/digital-competence-centre/contact/news/2025/ai-frameworks-for-fake-news-detection-an-interview-with-fadi-mohsen

From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags:

oa.new oa.ai oa.journalism oa.misinformation oa.code oa.data oa.interviews oa.preprints. oa.netherlands oa.reproducibility oa.people

Date tagged:

03/12/2025, 10:05

Date published:

03/12/2025, 06:05