Chenope, Inc.

Cataphora, Inc.

Other

Ernst & Young U.s.llp

Cataphorn, Inc.

Elizabeth B Charnock

Steven L Roberts

Curtis Thompson

Roman Brouk

Keith Eric Schon

Steve Roberts

Kathrin Haag

Richard Oehrle

David J Holsinger

Steven Lee Roberts

Jonathan D Nystrom

Arpit Bothra

Joanes C Espanol

Steve N Roberts

Katya Saint-Amand

Laurent Jean-Marc Guillaume Dupont

Laurent Dupont

Eli Yawo Amesefe

Loki Der Quaeler

Neji Dhakouani

A computer-readable medium for the identification, measurement, and combatting of the influence of large-scale creation and distribution of disinformation is herein disclosed. An embodiment of this invention is comprised of one or more repositories of data which involve online comments and articles and attributes derived from them, one or more technical targeting systems, a content analysis system, a cost and influence estimation system, a dialog system, a performance management system, a bot design and test system, a security system, a multimedia content generator, one or more machine learning components, a data collection mechanism, separate consumer and human operator applications, and a mechanism for the creation and management of bots across multiple channels.

System to detect, assess and counter disinformation

A computer readable medium for analyzing images according to specific kinds of features oriented towards detecting subtle branding features (intentional or otherwise) rather than relying on the usual image similarity detection methods. Also disclosed are steps to enhance standard machine learning techniques to identify new types of transformations by partitioning data into measure-countermeasure windows, which may be either/both detected computationally or inputted into a knowledgebase. The invention further incorporates direct and indirect traits of images that were likely to have been promulgated by a particular group or actor of interest, especially those traits that prove to be more invariant over time (including the use of transformations) which have proven to be more resistant to countermeasures applied in different jurisdictions. More generally, almost all embodiments allow individual feature calculations to be toggled on and off, and to define sets of features according to jurisdiction.

System and method for detecting and analyzing digital communications

A computer readable medium for analyzing and predicting the future behavior of organizations is disclosed. An embodiment of this invention is comprised of one or more repositories of data which involve comments or other actions by actors with some kind of relationship to a target organization, a repository of metadata relating to this data, a repository of updatable models of organizations, a natural language parsing engine, and an engine for generating and comparing the organizational models.

Analytical system and method for assessing certain characteristics of organizations

The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.

Continuous anomaly detection based on behavior modeling and heterogeneous information analysis

A method of more efficient, phased, iterative processing of very large collections of electronic data for the purposes of electronic discovery and related applications is disclosed. The processing minimally includes: text extraction, and the creation of a keyword search index, but may include many additional stages of processing as well. The method further includes: definition of an initial set of characteristics that correspond to 'interesting' data, followed by the iterative completion of processing of this data based on a combination of user feedback on the overall relevance of the documents being processed and the system's assessment of whether or not the data it has recently selected to promote in the processing completion queue has the desired quality and quantity of relevant data. The process continues until all identified data has either been fully processed, or discarded at some intermediate stage of processing as being likely irrelevant. This has the result of effectively finishing the processing much earlier, as the later documents in the processing queue will be increasingly irrelevant.

Efficient and phased method of processing large collections of electronic data known as 'best match first'&#x2122; for electronic discovery and other related applications

A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on available characteristics.

Method and apparatus for sociological data analysis

A method comprising enabling a user to define a redaction of a part of a document in a corpus of documents, the redaction definition including a scope defining a range of documents in the corpus to which the redaction applies.

Method and apparatus to provide a unified redaction system

A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on all of the characteristics available.

A method of organizing information is disclosed. The method comprises providing a visualization of actor communications in the context of one or more discussion, a discussion including at least one actor and at least one documented communication.

Method and apparatus to visually present discussions for data mining purposes

This patent describes a method and apparatus to automatically and accurately winnow down arbitrarily large amounts of electronic information created by a particular population of actors to only those subsets of particular interest by having a causal relationship, even when retrieved documents containing this information do not individually satisfy the search criteria used. An actor in this context is defined as any entity, single or aggregate, capable of creating, distributing, modifying, or receiving digital information. Once identified, this subset of information may, for example, be processed, analyzed, redacted, or destroyed, depending on the context of the system's use.

Data mining by retrieving causally-related documents not individually satisfying search criteria used

A processing system for retrieving interrelated documents is described. The system comprises a document repository for storing a plurality of documents, a metadata repository for storing a plurality of metadata elements to represent relations between the documents, and a sociological analysis engine to identify relationships between the documents using the metadata elements from the metadata repository.

Growing community of inventors

Foster City, CA, United States of America

Elizabeth B Charnock