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Typical Usability Problems in Romanian Online Newspapers Costin PRIBEANU 5 The fast changes in media technology fostered a shift from print to online newspapers, challenging digital journalism to address new issues such as usability and user experience. Because of the rapid expansion of online news websites, usability has not been a concern. Few studies exist that address the usability of online newspaper websites. The objective of this work is to analyze the usability of Romanian online newspapers. The task-based evaluation approach focused on typical tasks, aiming to identify typical usability problems. The evaluation results showed a messy organization of the webpage, disorganized placement of advertising, poor user guidance, prevalence of pages requiring intense scrolling, and increased cognitive load for the user. Online newspapers are designed with commercial interests in mind, and the use of advertising often neglects even the focus on delivering good quality news, not to mention a good reader experience. Usability is not a priority în Romanian online newspapers. Keywords: Online newspapers, Usability, Task-based evaluation, Usability heuristics, Typical Usability problems Automated Geographic Risk Revision for Financial-Economic Crime: A Deliberative Mixture-of-Experts Framework Petre-Cornel GRIGORESCU, Iulia-Cristina CIUREA 15 Geographic risk is a dimension of the essence in anti-money laundering (AML) and counter-terrorist financing (CFT) frameworks, yet most existing models treat country profiles as static and retrospective. Recent literature explores event-driven risk assessment and adverse media monitoring but lacks scalable, explainable systems tailored to compliance. This paper proposes a mixture-of-experts framework using large language models to assess ingested news content that is calibrated against structured geographic indices. The research explores whether deliberative multi-agent systems improve accuracy in multi-class geographic risk classification. Experimental results show that the framework outperforms zero-shot NLI baselines, achieving over 90% precision and recall post-calibration, especially in high-severity risk tiers. These findings support the integration of structured and unstructured data into dynamic compliance systems. The proposed architecture advances regulatory technology by introducing a modular, auditable, high-performance solution for real-time geographic risk monitoring, thereby bridging the gap between static indices and event-sensitive financial crime detection. Keywords: Geographic risk, Financial crime, LLM mixture-of-experts, Anti-money laundering, Large language models User Behavior Continuous Authentication in Secure Transactional Application Daniel-Marian DĂNILĂ, Natalia Sierra TOLEDO, Alin ZAMFIROIU 29 The purpose of this paper is to find the appropriate physical and behavioral biometric as well as contextual indicators for continuous authentication in a secure transactional application. The indicators must have good accuracy in identifying a user and be able to form the basis of an anomaly detector. In addition, their combination must maintain the usability of the application. Therefore, a compromise between accuracy and usability will be made so that the user can use the application easily and at the same time be protected from a potential thief. The paper relies on research and results from over twenty-five articles in the specialized literature to identify the best indicators, classifiers, and algorithms that have demonstrated good accuracy and usability. Furthermore, additional indicators specific to a banking application were considered. The identified indicators will be collected during the use of the application from several volunteer users and subsequently analyzed to obtain the results. To decide whether a user is legitimate, a score is calculated for the current session based on the indicators that have a weight based on the importance that was established following an opinion questionnaire. If the score falls below a certain value, then the current session is stopped immediately, and the person is logged out. The study was conducted on a banking application and among the indicators are the preference for displaying or hiding the balance, dominant hand for using the application, the way in which they return to the application, either through the PIN number or by using the fingerprint, the location and time from which the application is accessed, the amounts transacted, the way in which they press buttons. Overall, this research paper contributes to the literature by identifying and testing a unique set of indicators suitable for continuous authentication using behavioral biometric data in the context of a banking application. Keywords: Behavioral, Biometrics, Continuous, Authentication, Transactional Educational Systems in the Era of Technological Transformation - Current Challenges and Opportunities Oana-Larisa STOICA 43 In an era marked by accelerated technological transformations, education is undergoing a process of metamorphosis that fundamentally redefines its current structure. The objectives of the present research are oriented toward analysing how participants in the educational process, teachers and learners, are facing new challenges and limitations. The article explores the relevant literature to identify the obstacles and inefficiencies of the educational process and examines how emerging technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain can contribute to overcoming these barriers in the context of an ongoing technological revolution. The study aims to provide an in-depth understanding of how these technologies can support educational activities (teaching–learning–assessment) and the adaptation of education to ongoing transformations, thereby improving educational performance and shaping the future of the educational system. Keywords: Technology, Educational Systems, Challenges, Emerging Technologies, Artificial Intelligence, Internet of Things, Blockchain Blockchain and Machine Learning in Talent Acquisition: A Review on Credential Verification and Recruitment Optimization S M Asiful Islam SAKY, Farhana AKTER, Rabiul ISLAM, Yeasmin AKTER, Jahidul ISLAM 54 The rapid evolution of recruitment processes has prompted organizations to explore advanced technologies that enhance efficiency, transparency, and fairness in talent acquisition. This review critically examines the integration of Blockchain and Machine Learning (ML) as transformative tools in addressing long-standing challenges such as credential fraud, skills mismatch, unconscious bias, and lack of process transparency. Blockchain provides a decentralized, immutable ledger for secure storage and verification of academic and professional credentials, thereby reducing fraudulent claims and streamlining verification through smart contracts. The convergence of these technologies creates robust frameworks where ML algorithms operate on authenticated data supplied by blockchain systems, reinforcing trust, accountability, and efficiency in recruitment workflows. This study highlights both the transformative opportunities and practical challenges of these technologies, providing insights for academia, practitioners, and policymakers to design sustainable recruitment strategies aligned with modern workforce demands. Keywords: Machine Learning, Blockchain, Talent acquisition, Credential verification Determinants of Housing Affordability among Young Europeans: A Quantitative Study and an Interactive Application for Decision Support Liviu-Ioan ZECHERU, Bianca-Georgiana-Eliza ZAMFIR 71 Housing affordability remains a major concern for young Europeans, as growing real-estate prices and limited financial accessibility increasingly challenge their capacity to purchase or rent a home. This paper combines quantitative analysis with digital innovation to explore and visualize the determinants of housing affordability across EU member states. Using Eurostat and World Bank datasets, we perform statistical modeling to identify the key factors influencing young adults’ ability to access housing-such as income, mortgage availability, employment stability, and governmental support mechanisms. Beyond the empirical findings, we propose a mobile application with an interactive map designed to make the analysis more accessible to the public. The platform enables users to explore housing costs across Europe, visualize affordability differences through dynamic charts, and complete a short questionnaire that suggests EU countries best aligned with their income, openness to mobility, and occupational profile. This integrated approach bridges data science and decision support, offering both researchers and citizens a tool to better understand and navigate the European housing market. Keywords: Housing affordability, Young Europeans, Financial accessibility, Real-estate analysis, Credit availability, Data visualization Publishing Guide for Authors 86 INFOREC Association 88 |
