Systems and Methods for Explainable Fake News Detection

A device comprising:

• a non-transitory memory storage comprising instructions;
• and
• one or more processors in communication with the memory storage, wherein the instructions, when executed by the one or more processors, cause the device to perform:
• obtaining a piece of news comprising a plurality of sentences;
• obtaining a plurality of comments associated with the piece of news;
• determining semantic correlation between each sentence of the plurality of sentences and each comment of the plurality of comments based on latent representations of the plurality of sentences and latent representations of the plurality of comments, to generate respective correlation degrees between the plurality of sentences and the plurality of comments;
• determining a sentence attention weight of each sentence of the plurality of sentences and a comment attention weight of each comment of the plurality of comments, based on the respective correlation degrees, the latent representations of the plurality of sentences and the latent representations of the plurality of comments;
• and
• detecting whether the piece of news is fake based on the latent representations of the plurality of sentences weighted by respective sentence attention weights and the latent representations of the plurality of comments weighted by respective comment attention weight.

A non-transitory computer-readable media storing computer instructions, that when executed by one or more processors of a device, cause the device to perform:

• obtaining a piece of news comprising a plurality of sentences;
• obtaining a plurality of comments associated with the piece of news;
• determining semantic correlation between each sentence of the plurality of sentences and each comment of the plurality of comments based on latent representations of the plurality of sentences and the latent representations of the plurality of comments, to generate respective correlation degrees between the plurality of sentences and the plurality of comments;
• determining a sentence attention weight of each sentence of the plurality of sentences and a comment attention weight of each comment of the plurality of comments, based on the respective correlation degrees, the latent representations of the plurality of sentences and the latent representations of the plurality of comments;
• and
• detecting whether the piece of news is fake based on the latent representations of the plurality of sentences weighted by respective sentence attention weights and the latent representations of the plurality of comments weighted by respective comment attention weight.