In recent years, Capital One’s data environment scaled exponentially in size and complexity with increasingly distributed, unstructured, and real-time data needs. This presented challenges in maximizing the value of data due to inconsistent naming, formatting, quality, and understanding. Capital One implemented an Enterprise Data Standardization program in order to tackle discoverability and usability challenges. One aspect of the program includes the development and operationalization of an enterprise ontology organized by high-level subject areas (ex.
The credibility and trustworthiness of online content has become a major societal issue as human communication and information exchange continues to evolve digitally. The prevalence of misinformation, circulated by fraudsters, trolls, political activists and state-sponsored actors, has motivated a heightened interest in automated content evaluation and curation tools. We present an automated credibility evaluation system to aid users in credibility assessments of web pages, focusing on the automated analysis of 23 mostly language- and content-related credibility signals of web content.