Research Publications
GPTfake’s publications are our methodology-grade, citable outputs on AI censorship, bias, and transparency. Each carries a stable URL and links to the open datasets behind it, so any finding can be reproduced. Browse by year below.
Last updated: 2026-06-16. Items listed are illustrative placeholders pending publication.
Censorship-trend analyses, comparative bias studies, and regional-variation findings from 2024.
2023 publicationsEarlier foundational studies establishing our monitoring methodology and baselines.
How to cite
Every publication includes a citation block. For dataset citations, see the datasets page. To propose peer review or collaborative work, see collaborations or contact us.
All publications follow reproducibility and transparency standards documented in the monitoring methodology. GPTfake is not funded by any AI lab.
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