Data Poisoning and Grooming
Operational Multipliers
State actors systematically poison AI training datasets and knowledge bases with tailored misinformation to embed propaganda and biases directly into automated systems, bypassing human perception by corrupting the infrastructure rather than targeting individual users.
State actors systematically poison AI training datasets and knowledge bases with tailored misinformation to embed propaganda and biases directly into automated systems, bypassing human perception by corrupting the infrastructure rather than targeting individual users.
FIMI Taxonomy by Information Epidemiology Lab.
Citation
BibTeX citation:
@article{li2026,
author = {Li, E. Rosalie},
title = {Data {Poisoning} and {Grooming}},
date = {2026-02-17},
url = {https://fimi.infoepi.org/mechanisms/data-poisoning-and-grooming.html},
langid = {en}
}
For attribution, please cite this work as:
Li, E. Rosalie. 2026. “Data Poisoning and Grooming,”
February. https://fimi.infoepi.org/mechanisms/data-poisoning-and-grooming.html.