Publikasjoner
- Building a Canonical Register of Public Sector Entities: Semantic Linking of Procurement Data at Scale Les publikasjonen
- Multidimensional Analysis Tagger and Deep Learning for a Robust Fake News Detection System
- The PolitiFact-Oslo Corpus: A New Dataset for Fake News Analysis and Detection Les publikasjonen
- SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data Les publikasjonen
- A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project
Annen formidling
- Interdisciplinary research projects on fake news: Experiences from Fakespeak and NxtGenFake
- Falske nyheter - reelle trusler: Falske nyheter og (andre former for) desinformasjon i de store språkmodellenes tidsalder
- Falske nyheter - reelle trusler: Resultater og erfaringer fra Fakespeak og NxtGenFake
- Methodology for Developing a Fact-Checked News Dataset in Norwegian Bokmål for Fake News Detection (The Fakespeak-NOR Corpus)
- The grammar of fake news: Corpus linguistics meets machine learning
- Out of balance, out of sight: Issues with the design and accessibility of a corpus of fake and real news
- SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data