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Marianne Kramer

Biographic Data

ID4457316
NAMEMarianne Kramer
GIVEN NAMESMarianne
FAMILY NAMEKramer
SIGNATUREKRÄMER M
AFFILIATIONSUniversity of Copenhagen
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Detecting pro-kremlin disinformation using large language models

    Open Access•Marianne Kramer, Yevgeniy Golovchenko et al.•ARTICLE•Research & Politics•2025•References: 4

    A growing body of literature examines manipulative information by detecting political mis-/disinformation in text data. This line of research typically involves highly costly manual annotation of text for manual content analysis, and/or training and validating automated downstream approaches. We examine whether Large Language Models (LLMs) can detect pro-Kremlin disinformation about the war in Ukraine, focusing on the case of the downing of the c…

No prominent works on this page.

  • Detecting pro-kremlin disinformation using large language models

    Open Access•Marianne Kramer, Yevgeniy Golovchenko et al.•ARTICLE•Research & Politics•2025•References: 4

    A growing body of literature examines manipulative information by detecting political mis-/disinformation in text data. This line of research typically involves highly costly manual annotation of text for manual content analysis, and/or training and validating automated downstream approaches. We examine whether Large Language Models (LLMs) can detect pro-Kremlin disinformation about the war in Ukraine, focusing on the case of the downing of the c…

Computer Science (1 works) · Cybersecurity and Cyber Warfare Studies (1 works) · Disinformation (1 works) · Fake news (1 works) · Intelligence, Security, War Strategy (1 works) · Internet privacy (1 works) · Misinformation and Its Impacts (1 works) · Political science (1 works) · Social media (1 works) · World Wide Web (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae