Risk Analysis for Reputation Based on Assessments and Ranking of Information Events and Specific Data from Open Sources of Information

摘要

This article examines the overall issues of managing risk to the reputation of various entities: legal and natural persons, geographic entities, brands, and so forth. We present an approach toward automating the most time-consuming stage of that process (risk analysis) based on identifying facts within open-source information materials whose context refers to the entities under study, and we assess the effect of these facts on the reputation of these entities. The main advantages of this approach are (1) obtaining a quantitative analysis of threats and risks to an entity's reputation, and (2) automating a significant amount of operations and obtaining a greater degree of objectivity in the results.