Defamation Solutions

Powered by a unique, high-quality dataset of defamation examples, and managed by a team of annotation experts, CaliberAI's pioneering tools augment human capability to detect language with a high level of legal and defamatory risk.

Test potentially defamatory content

This is an early release of CaliberAI and you may notice false positives/negatives as we refine our predictive models.

Example of potentially defamatory content

Classified as potentially Defamatory

The minister has been on the take from business interests for years.

Potentially problematic content has been highlighted. The size indicates attention. A classification is an automated linguistic determination and not a value judgement, read more about this here.

Defamatory probability: 0.6918151378631592
Defamatory threshold: 0.62
Model used: Attention
Time taken: 2075ms
Attention weights:
minister (0.0014457887737080455), on the take (0.000906470522750169), business (0.009683268144726753), interests (0.016263360157608986), years. (0.010811255313456059)

What makes us different

Unique data

Unique, carefully crafted datasets, training multiple machine learning models for production deployment.

Expert led

Expert annotation, overseen by a diverse, publisher led team with deep expertise in news, law, linguistics and computer science.

Explainable outputs

Pre-processing and post-processing with eXplainable AI outputs.

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