Media attribution verification

A computing system comprising:

• an input device configured to receive a content item and a purported media source for the content item, the content item comprising multimodal data;
• processing circuitry and memory configured to execute a machine learning system,
• wherein the machine learning system is configured to:
• generate a plurality of modality feature vectors representative of the multimodal data of the content item, wherein each of the plurality of generated modality feature vectors has a different, corresponding modality feature;
• map the plurality of generated modality feature vectors based on a statistical distribution associated with the purported media source;
• determine a score based on the mapping;
• and
• output, based on the score, an indication of whether the content item originated from the purported media source.

Non-transitory computer-readable storage media comprising machine readable instructions for configuring processing circuitry to:

• obtain a content item and a purported media source for the content item, the content item comprising multimodal data;
• generate a plurality of modality feature vectors representative of the multimodal data, wherein each of the plurality of generated modality feature vectors has a different, corresponding modality feature;
• map the plurality of generated modality feature vectors based on a statistical distribution associated with the purported media source;
• determine a score based on the mapping;
• and
• output, based on the score, an indication of whether the content item originated from the purported media source.