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Found 6674 publications

MEDIA INFLUENCE AND USER BEHAVIOUR IN THE NEWS ENVIRONMENT: TRADITIONAL VERSUS SOCIAL MEDIA

Halyna Mishchuk Jacek Nożewski Vita Krol Krzysztof Kuźmicz Monika Imreh-Toth

Publication Name: Human Technology

Publication Date: 2026-05-01

Volume: 22

Issue: 1

Page Range: 219-238

Description:

This study investigates behavioural patterns in identifying disinformation within news environments, where algorithmically curated information flows shape humantechnology interaction. Using data from the 2025 Eurobarometer survey (n=26,114), the research employs statistical analysis to compare users' attitudes towards news in traditional and social media. Findings indicate a significant disparity: while 65.9 % of respondents express high confidence in recognising fake news, 34.1% remain unconfident. Notably, high engagement with social media correlates with a greater exposure to disinformation. Women tend to have slightly higher self-reported exposure to disinformation (23.8%) than men (21.1%). Results demonstrate that demographic factors, particularly age and years of education, significantly shape information-checking behaviours. By adopting a human-oriented perspective, the study highlights how digitally mediated environments structure users' interaction with information and condition their capacity to critically assess its reliability.

Open Access: Yes

DOI: 10.14254/1795-6889.2026.22-1.11

Evaluating Financial Development Indices with a Focus on Sustainability and Financial Resilience

Katalin Czakó István Szalai

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1574 LNNS

Issue: Unknown

Page Range: 419-426

Description:

This study examines current financial development indices, highlighting the need to incorporate sustainability and resilience metrics. It critically investigates three major indices: the IMF’s Financial Development Index, the World Economic Forum’s Financial Development Index, and the World Bank’s Global Financial Development Database through a comparative analysis. The authors propose the concept of a new Sustainable Financial Development Index (SFDI) that integrates indicators related to economic resilience and sustainability. The proposed composite index aims to provide a more comprehensive measure for policymakers to assess financial development across diverse economic contexts and promote sustainable growth and financial resilience.

Open Access: Yes

DOI: 10.1007/978-3-032-00447-5_40

Interplay between economic progress, carbon emissions and energy prices on green energy adoption: Evidence from USA and Germany in context of sustainability

Yuriy Bilan Mohammad Sharif Karimi Zhanren Zhang Umer Shahzad Naveen Mahasen Weerasinghe

Publication Name: Renewable Energy

Publication Date: 2024-10-01

Volume: 232

Issue: Unknown

Page Range: Unknown

Description:

In contemporary times, where most academic research mainly focuses on the factors of economic and environmental sustainability and emissions reduction. Yet, very little attention has been paid to the identification of the factors of renewable energy, which requires appropriate policy-level attention. Consequently, this research investigated two developed economies, i.e., Germany and the USA, from 1991 to 2021 where, the objective of the study includes using novel and robust empirical methods to test the causal relationship between renewable energy and CO2 emissions, economic growth, technological innovations and oil prices. Using the normality and unit root estimators, this study observed that non-normal data distribution, yet all the variables are stationary. Using time-series and panel cointegration tests, the results validate the cointegration between economic growth, oil prices, carbon emission, technological innovation, and renewable energy adoption in the United States whereas Germany does not show cointegration between the variables. This study employ ‘s the Morlet-Wavelet approaches and key findings show that all these variables have a significant role in improving renewable energy adoption in both the region. Furthermore, results show a unidirectional and bidirectional causal association between the variables via the panel-stacked Granger causality test. This study recommends effective policy ramifications concerning improved investment in technological innovation, improved low-carbon production, and diverting economic growth to renewable energy transition. Use of improved new time-series method of wavelet coherence show the key contribution in this paper with new evidence of time frequency analysis on how external variables affect renewable energy consumption in developed countries of US and Germany. The objective includes understanding the effects of CO2 emissions, economic growth, technological innovations and oil prices on renewable energy which would give evidence to policy makers and environmentalists on how developed countries should improve clean energy adoption.

Open Access: Yes

DOI: 10.1016/j.renene.2024.121038

Chatbot assistant based on Large-Language Models for University students

Csaba Hajdu Katalin Kovacs Ami Otsuka

Publication Name: Ines 2025 29th IEEE International Conference on Intelligent Engineering Systems 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 77-82

Description:

Large-language models (LLMs) have recently gained significant traction in natural language processing (NLP) by accurately modeling and imitating human-like conversations. One standout application area involves chatbots, which leverage LLMs to provide context-aware, natural language interactions. However, existing solutions often target English and rely on external cloud-based platforms, raising concerns about data privacy and language coverage. In contrast, this paper presents a locally deployable, Hungarian-language chatbot developed to assist university students with education and examination regulations. The proposed system ensures in-house deployment, facilitating compliance with institutional data policies and offering cost-effective scalability. Beyond offering straightforward answers on deadlines and academic rules, our chatbot is designed to handle more nuanced student inquiries, enhancing user experience and administrative efficiency. Preliminary testing demonstrates robust performance in Hungarian context. Future plans include extending the chatbot's domain to more complex subjects, broader document sets, and additional institutions, as well as integrating high-performance computing resources for large-scale deployments.

Open Access: Yes

DOI: 10.1109/INES67149.2025.11078205

Financial Geographic Accessibility and Corporate Innovation: An Analysis of Spatial Synergy Based on Land Use and Environmental Sustainability

Laszlo Vasa Xin Zhao Yuping Shang Dariusz Cichon Liwen Wan Long Zheng

Publication Name: Land Degradation and Development

Publication Date: 2025-08-15

Volume: 36

Issue: 13

Page Range: 4562-4587

Description:

In the face of land degradation and environmental constraints, it is imperative to have an adaptive financial geography structure and a land resource utilization system that supports corporate innovation. This study constructs a refined financial geographic accessibility measurement index. By integrating multi-source spatio-temporal big data, the study breaks through the static limitation of traditional statistical data. It accurately analyzes the spatial synergistic effect between the spatial distribution of financial institutions and land use planning. Land use data, such as spatial development rate and spatial interest points, provide high-precision spatial evidence for revealing the mechanism of financial geographic accessibility affecting corporate innovation. Further, from the environmental sustainability perspective, this paper studies the moderating effect of environmental constraints on corporate innovation. Financial geographic accessibility can improve corporate innovation by reducing financing costs, accelerating knowledge spillover, realizing intermediate input sharing, improving labor matching, and giving play to location advantages. Notably, this facilitation effect performs better in cities with high energy consumption and carbon emissions. Heterogeneity analysis shows that proximity to the city center, low industrial maturity, government subsidies, soes, and large-scale corporations significantly amplify the innovation benefits of financial geographic accessibility. This study combines remote sensing data with spatial big data to provide a new methodological framework for analyzing land use and degradation.

Open Access: Yes

DOI: 10.1002/ldr.5653

Impact of soil composition on maximum depth of wetting in expansive soils

Ammar N. Alnmr

Publication Name: Pollack Periodica

Publication Date: 2024-03-22

Volume: 19

Issue: 1

Page Range: 85-92

Description:

Expansive unsaturated soils present challenges in construction due to their moisture-induced behavior. This study proposes empirical equations to estimate the maximum wetting depth over time. Laboratory experiments and numerical analyses using SEEP/W software investigate wetting depth considering time and sand content in coastal and inland regions. Results reveal the significant influence of sand content on maximum soil moisture depth, emphasizing a recommended content above 30% to mitigate heave. The equations offer practical tools for assessing wetting depth, accounting for temporal and spatial variations. This research highlights the importance of wetting depth in addressing soil-related concerns and provides a foundation for further exploration of related factors.

Open Access: Yes

DOI: 10.1556/606.2023.00870

Human-robot interaction based on artificial intelligence in clinical healthcare centers: A systematic review and meta-analysis

R. M. Movahedi Vahid Shafaie Mohammad Milad Shafaie Negin Moslem Alireza Salehnia

Publication Name: Computers in Human Behavior Reports

Publication Date: 2026-05-01

Volume: 22

Issue: Unknown

Page Range: Unknown

Description:

The integration of artificial intelligence (AI) into human-robot interaction (HRI) in healthcare has fundamentally revolutionized the emotional, social, and cognitive interaction between humans and robotic systems. This systematic review examines how AI-powered healthcare bots affect patient trust, therapeutic alliance, and user bonding. A PRISMA-compliant literature search was conducted in five major databases: PubMed, Scopus, IEEE Xplore, Springer, and MDPI, covering studies published in English between 2010 and 2025. The inclusion criteria targeted experimental research, including evaluation studies, of AI-enhanced HRI in clinical and assistive fields. Reviews, non-experimental work, and studies without AI integration were excluded. Methodological quality and risk of bias were assessed using the revised Cochrane Risk of Bias tool for randomized trials (RoB 2), while robvis was used to generate visual summaries of the risk-of-bias assessments. Meta-analysis calculated Diagnostic Odds Ratios (95% CI) for reported diagnostic outcomes. Bibliometric visualization was performed using VOSviewer. The results show that visualized and emotionally intelligent robots outperformed virtual agents in delivering emotional security and therapeutic value. However, diagnostic accuracy was low (AUC≈0.39; pooled specificity = 0.53) with substantial heterogeneity (I2 ˜ 68%), and meta-regression identified no significant moderators, leaving residual variability (τ2 = 0.479). Gaps between user expectations and responsiveness limited engagement, and limited longitudinal designs restricted long-term insights. RoB 2 indicated moderate methodological variability. Despite these constraints, culturally adaptive robotic systems enhance clinical communication and patient trust, underscoring the importance of personalization and emotional intelligence in future AI healthcare robots.

Open Access: Yes

DOI: 10.1016/j.chbr.2026.101080

Determining the Deformation Characteristics of Railway Ballast by Mathematical Modeling of Elastic Wave Propagation

Szabolcs Fischer Balázs Horváth Mykola Kurhan Dmytro Kurhan

Publication Name: Applied Mechanics

Publication Date: 2023-06-01

Volume: 4

Issue: 2

Page Range: 803-815

Description:

The article solves the problem of theoretically determining the deformable characteristics of railway ballast, considering its condition through mathematical modeling. Different tasks require mathematical models with different levels of detail of certain elements. After a certain limit, excessive detailing only worsens the quality of the model. Therefore, for many problems of the interaction between the track and the rolling stock, it is sufficient to describe the ballast as a homogeneous isotropic layer with a vertical elastic deformation. The elastic deformation of the ballast is formed by the deviation of individual elements; the ballast may have pollutants, the ballast may have places with different levels of compaction, etc. To be able to determine the general characteristics of the layer, a dynamic model of the stress–strain state of the system based on the dynamic problem of the theory of elasticity is applied. The reaction of the ballast to the dynamic load is modeled through the passage of elastic deformation waves. The given results can be applied in the models of the railway track in the other direction as initial data regarding the ballast layer.

Open Access: Yes

DOI: 10.3390/applmech4020041

Unpacking IT-Driven Digital Transformation in Marketing 4.0 Through a Sociomaterial Gioia Lens

Ankit Mehrotra Nourah O. Alshaghdali Istvan Drotar Sushant Kumar Vishnoi

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

The application of Artificial Intelligence (AI)-enabled technologies into the retail environment has led to the emergence of the Marketing 4.0 paradigm, which integrates customer digital and physical touch-points to deliver value. The study used sociomateriality as a theoretical lens to examine how AI-driven marketing practices were enacted, negotiated, and established in retail organizations through human-material entanglements. The crowdsourcing platform Prolific Academic was used to collect data from retail professionals through open-ended essays. Data were analyzed using Gioia's methodology, which led to the identification of five dimensions—sociomaterial entanglement, material agency, situated practices, temporal emergence, and sociomaterial identity—which aligned with sociomateriality theory, encouraging the adoption of Marketing 4.0 in the retail context. The study developed a holistic framework to visualize the relationships that emerged from the participants' responses, addressing the criticalities of the Marketing 4.0 ecosystem.

Open Access: Yes

DOI: 10.4018/JGIM.393626