Misinformation detection in online content

A system comprising:

• a processing system;
• a storage system;
• and
• program instructions stored on the storage system that, executed by the processing system, direct the processing system to at least:
• receive a uniform resource locator (URL);
• in response to receiving the URL:
• determine whether the URL is from a distrusted domain;
• if the URL is from a distrusted domain, provide a misinformation notification;
• if the URL is not from a distrusted domain, obtain text from content referenced by the URL and metadata associated with the URL, wherein the metadata associated with the URL comprises an author, a publisher, a date of publication, a headline, or a combination thereof;
• determine whether the URL is a previously received URL;
• if the URL is a previously received URL, provide cached information of the previously received URL from a data resource;
• if the URL is not a previously received URL, determine whether the content referenced by the URL is a duplicate content;
• if the content referenced by the URL is the duplicate content, provide cached information of the duplicate content from the data resource;
• if the content referenced by the URL is not the duplicate content, perform a misinformation probability analysis of the URL, the obtained text, and the metadata associated with the URL using a feature set at a misinformation probability service, the feature set comprising semantic-based features and syntactic-based features;
• receive, from the misinformation probability service, a probability value representing a misinformation confidence for the URL based on the performed misinformation probability analysis;
• determine a misinformation result based on the probability value;
• store the misinformation result in the data resource associated with the URL and corresponding content for the URL;
• and
• provide the misinformation result.