Patents by Inventor Meysam Alizadeh

Meysam Alizadeh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220383142
    Abstract: According to various embodiments, a machine learning based method, system, and non-transitory computer-readable medium for identifying content on social media related to one or more coordinated influence efforts are disclosed. The method includes generating one or more datasets of post-uniform resource locator (URL) pairs produced from one or more known coordinated influence efforts on one or more social media platforms. The method further includes generating one or more datasets of post-URL pairs produced from one or more random users on one or more social media platforms. The method additionally includes extracting a plurality of content-based features from the post-URL pairs from known coordinated influence efforts and random users.
    Type: Application
    Filed: August 28, 2020
    Publication date: December 1, 2022
    Applicant: The Trustees of Princeton University
    Inventors: Meysam Alizadeh, Jacob Shapiro