Generating a consolidated event explanation

A method of generating a consolidated event explanation comprising:

• measuring a similarity between content items using a similarity measure;
• grouping content items that satisfy a similarity threshold into content clusters;
• identifying an event described in a content cluster using a generative language model, the content cluster comprising a plurality of content items;
• using the generative language model to identify an additional content related to the event that addresses an interest in the event that is not addressed within the content cluster;
• forming an expanded content cluster that includes the additional content and the content cluster;
• and
• generating, using the generative language model taking the expanded content cluster as input, a consolidated event explanation for the event, wherein the consolidated event explanation includes an event explanation summary and a main event explanation.

A method generating a consolidated event explanation, comprising:

• measuring similarity between different articles using a similarity measure;
• grouping articles that satisfy a similarity threshold into article clusters;
• identifying an event described in an article cluster that includes a plurality of articles;
• assigning, with a generative language model, a reader interest to each article in the plurality of articles;
• generating, with the generative language model, a query designed to return an article covering a reader interest that is not assigned to any article in the plurality of articles;
• forming an expanded article cluster that includes an additional article returned in response the query and the plurality of articles;
• and
• generating, using the generative language model and taking the expanded article cluster as input, a consolidated event explanation for the event.