A Cognitive Framework for Information Gathering with Deception Detection for Intelligence Analysis

Gathering relevant and credible information from massive, available data spaces is critical for intelligence analysis. We describe our ongoing effort in constructing a framework of services to support the analysts, which include personalized information retrieval and summarization with deception detection. By incorporating a user model that captures the analyst’s intent, the system can retrieve information that is relevant to the analyst’s information needs, and present the information properly as a summary according to the analyst’s personal interests. By monitoring for a inconsistencies in the retrieved information, the system detects potential misinformation and/or disinformation. Our goal is to help the analysts effectively retrieve information based on their needs, and filter out or identify information that might be deceptive or misleading.