Abstract: Techniques are provided for enhancing the targeting, selection, review, and presentation of online social network (OSN) data pertinent to an evidence context. In one formulation, a concept taxonomy is determined from a request frame relating to targeted OSN data. The concept taxonomy is transformed into query terms for searching targeted OSN data stored in an OSN data collection; a review set of OSN data entities aligned with the request frame is formulated. In another formulation, a presentation model is generated corresponding to an evidence context which is populated with OSN data entities in a review set; the presentation model is displayed on a user interface. Indications of relevance by a user on the user interface change content or properties of the OSN data entities in the review set.

Abstract: Techniques are provided for enhancing the targeting, selection, review, and presentation of online social network (OSN) data pertinent to an evidence context. In one formulation, a concept taxonomy is determined from a request frame relating to targeted OSN data. The concept taxonomy is transformed into query terms for searching targeted OSN data stored in an OSN data collection; a review set of OSN data entities aligned with the request frame is formulated. In another formulation, a presentation model is generated corresponding to an evidence context which is populated with OSN data entities in a review set; the presentation model is displayed on a user interface. Indications of relevance by a user on the user interface change content or properties of the OSN data entities in the review set.

Abstract: Techniques and systems are provided for selecting, collecting, and storing online social network (OSN) data pertinent to an evidence context. A collection request with content filter parameters, an authentication mode, and a targeted OSN identity is received. A unique content and user perspective is determined to build an OSN connection that is used to asynchronously retrieve targeted OSN data entities in accordance with the content filter parameters. Filtered OSN data is assembled and stored in a modification-controlled repository. An integrity value for certifying the authenticity of stored OSN data is stored in an integrity value repository. Some implementations include methods for targeting information of evidentiary value by repeating a collection request at a timed interval and determining the existence of added, modified, or deleted OSN data from prior retrieval instances.