Professor Etudo’s research focuses on the application of software to solve various business and social problems -- in particular the propagation of organizational messaging on the Web with a special focus on terrorist organizations. He is researching automated systems for identifying terrorist content on the web and the dark web. An applied researcher, he studies how these techniques can be used to track behavior with an eye toward prevention.
Areas of Expertise (6)
Advanced Database Systems
Online Activity of Terrorists
Internet Dissemination of Ideologies
Virginia Commonwealth University: Ph.D., Information Systems
University of Richmond: B.S.B.A., Economics
Does ‘deplatforming’ work to curb hate speech and calls for violence? 3 experts in online communications weigh inThe Conversation
Does the deplatforming of prominent figures and movement leaders who command large followings online work? That depends on the criteria for the success of the policy intervention. If it means punishing the target of the deplatforming so they pay some price, then without a doubt it works. For example, right-wing provocateur Milo Yiannopoulos was banned from Twitter in 2016 and Facebook in 2019, and subsequently complained about financial hardship. If it means dampening the odds of undesirable social outcomes and unrest, then in the short term, yes. But it is not at all certain in the long term.
Financial Concept Element Mapper (FinCEM) for XBRL interoperability: Utilizing the M3 Plus methodDecision Support Systems
2017 The use of eXtensible Business Reporting Language (XBRL) to represent financial reports (particularly 10-K and 10-Q filings) is a requirement of all public companies in the United States. The intention of the XBRL mandate is to streamline the financial reporting pipeline by providing full automaticity with respect to the collection, collation and analysis of financial information on the Web. However, the current lack of acceptable XBRL interoperability prevents the realization of the mandate's potential.
An Actionable Knowledge Representation for Popular Fundamental Investment StrategiesSIGODIS
2017 Individual investors consistently underperform relevant investment benchmarks. Consequently, a considerable body of literature of fundamental investment strategies targeted towards this audience emerged. Several online platforms provide operationalization of these strategies in the form of stock screeners. However, each platform must use its own interpretation of the strategy as no central knowledge repository exists.
On mobile device security practices and training efficacy: An empirical studyInformatics in Education
2016 The past decade has witnessed an explosion of the penetration of mobile technology through all strata of society. Mobile technologies including cell phones, tablets, and even some e-readers are used for surfing the web, running apps, reading email, posting to social media, conducting banking transactions, etc. This liberation from desktop and laptop machines and from the requirements of a specific geographic location raises concerns regarding the problems and challenges of maintaining security while traversing cyberspace.
Adaptive structuration theory and media richness theory in GDSS research: A critical review Authors48th Hawaii International Conference on System Sciences
2015 This paper presents a synthesis of the group support systems literature (GSS) with a focus on adaptive structuration theory (AST) and media richness theory (MRT). We analyze 23 papers that use either of these theories in constructing or empirically testing hypotheses and fit these works to a framework for conceptualizing group decision support systems as proposed by Peters . We find that MRT is not robust with respect to empirical analyses, while AST is
Ontology based integration of XBRL filings for financial decision makingDecision Support Systems
2014 In 2008, the US Securities and Exchange Commission (SEC) mandated all tier-1 public companies to report their financial statements in eXtensible Business Reporting Language (XBRL). XBRL has the potential to improve the efficiency and accuracy of financial disclosures, and thereby reduce costs. However, semantic heterogeneity across XBRL filings poses a challenge for individual (non-institutional) investors seeking to make inter-firm comparisons using XBRL data.