A Generative Artificial-Intelligence-Based Workbench to Test New Methodologies in Organisational Health and Safety DOI Creative Commons
Andrea Falegnami, Andrea Tomassi, Giuseppe Corbelli

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11586 - 11586

Published: Dec. 11, 2024

This paper introduces a novel generative artificial intelligence workbench specifically tailored to the field of safety sciences. Utilizing large language models (LLMs), this innovative approach significantly diverges from traditional methods by enabling rapid development, refinement, and preliminary testing new methodologies. Traditional techniques in typically depend on slow, iterative cycles empirical data collection analysis, which can be both time-intensive costly. In contrast, our LLM-based leverages synthetic generation advanced prompt engineering simulate complex scenarios generate diverse, realistic sets demand. capability allows for more flexible accelerated experimentation, enhancing efficiency scalability science research. By detailing an application case, we demonstrate practical implementation advantages framework, such as its ability adapt quickly evolving requirements potential cut down development time resources. The introduction represents paradigm shift methodology offering potent tool that combines theoretical rigor with agility modern AI technologies.

Language: Английский

Hybrid Teaching and Learning in Higher Education: A Systematic Literature Review DOI Open Access
Daina Gudonienė, Evelina Stanevičienė, Isabel Huet

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 756 - 756

Published: Jan. 19, 2025

Hybrid teaching, which integrates traditional in-person learning based on students’ perspectives where online offers a flexible approach to education, combines the benefits of technology with face-to-face interactions. Moreover, teaching and in hybrid way met several challenges for both teachers learners, including technological problems, time management, communication difficulties, assessment complexities. This systematic review investigates six main research questions: (1) What pedagogical frameworks are used learning? (2) How can we enhance engagement (3) is impact integration scenarios, students teachers? (4) do training support measures influence willingness ability university implement formats? (5) formative feedback methods environments enable effectively monitor student progress provide tailored support? (6) does implementation affect outcomes? study identifies following key themes: integration, innovation, faculty support, engagement, practices, outcomes. Our contribution this literature related by showing most appropriate avoid encountered when way. These include strong innovative strategies, academic development active effective positive

Language: Английский

Citations

1

Defining Conceptual Artefacts to Manage and Design Simplicities in Complex Adaptive Systems DOI Creative Commons
Andrea Falegnami, Andrea Tomassi, Chiara Gunella

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(24), P. e41033 - e41033

Published: Dec. 1, 2024

Language: Английский

Citations

6

Dampak Algoritma AI terhadap Komunikasi Publik: Memahami Manipulasi Informasi dan Realitas DOI Creative Commons

Ilham Nurfajri,

Erlangga Teguh Hadi Pratama,

Gilang Septian Tupamahu

et al.

Published: Jan. 4, 2025

Algoritma kecerdasan buatan (AI) memainkan peran penting dalam membentuk informasi yang diterima oleh publik melalui platform digital, seperti media sosial dan mesin pencari. Dengan menyaring konten berdasarkan preferensi pengguna, algoritma ini dapat menciptakan "gelembung informasi", membatasi paparan terhadap sudut pandang berbeda memperburuk polarisasi sosial. Penggunaan AI komunikasi juga menimbulkan tantangan etis terkait bias, manipulasi informasi, ketidakadilan penyebaran informasi. Artikel mengkaji dampak publik, termasuk sosialnya, serta perlunya regulasi untuk memastikan penggunaan adil transparan ruang publik.

Citations

0

Türkiye’de Yapay Zekânın Dezenformasyon Karnesi: Yapay Zekâ ile Üretilen Dezenformasyona İlişin Doğruluk Kontrollerinin İçerik Analizi DOI Creative Commons
Elif KARAKOÇ

TRT Akademi, Journal Year: 2025, Volume and Issue: 10(23), P. 104 - 139

Published: Jan. 31, 2025

Dezenformasyon, yapay zekâ alanındaki gelişmeler sayesinde hızla üretilebilmekte, yayılabilmekte ve doğru bilgiyi algılama sürecini daha karmaşık hale getirmektedir. Bu noktada doğrulama platformlarının şüpheli bilgileri kontrol ederek doğruluk faaliyeti gerçekleştirmeleri önem kazanmaya devam etmektedir. faaliyet, aynı zamanda ülke gündeminde viral olan yani hızlı denetlenemez bir şekilde yayılan içerikler üzerinden çeşitli anlamlandırmalarda bulunmaya imkân tanımaktadır. Buradan hareketle çalışma, Türkiye’nin internet dolaşıma giren çoğunlukla gelen dezenformasyonun ile ilişkisini öne çıkararak, platformları tarafından tespit edilen ilişkili doğrulamaları analiz etmeyi amaçlamaktadır. amaçtan yola çıkarak çalışmada, Türkiye’de yürüten Uluslararası Doğruluk Kontrolü Ağı’nın imzacısı Doğrula, Payı Teyit Anadolu Ajansı’nın Teyithattı platformlarında 01.01.2023-31.08.2024 tarihleri arasında üretildiği dezenformasyon barındıran doğrulamalara içerik analizi uygulanmıştır. Çalışma sonunda, en yaygın türünün manipülasyon olduğu, sıklıkla siyaset, yaşam, kültür sanat eğlence, teknoloji alanına ilişkin konuları içerdiği, tüm konuların siyasi manipülasyonla ilişkilenen yönlerinin olduğu bu doğrultuda fazla aktörleri hedef aldığı, kaynaklarının ağırlıklı olarak yabancı hesaplar X TikTok platformlarından yayıldığı edilmiştir. Diğer yandan içerdiği alt konulardan çıkılarak zekânın etkileşim kazanma yoluyla dolandırıcılık faaliyetlerine teşvik etme, komplo teorilerini pekiştirme gibi potansiyel etkileri de değerlendirilmiştir.

Citations

0

Benchmarking exercise and identification of AI tool to detect false information on food DOI Open Access

Guy Coene,

Evangelos Konstantinis

EFSA Supporting Publications, Journal Year: 2025, Volume and Issue: 22(2)

Published: Feb. 1, 2025

Abstract The study has the objectives to conduct desk research identify available AI‐based solutions for detecting false information and benchmark identified against a set of features take into account an implementation at European Food Safety Authority (EFSA). 58 potential commercial platform candidates, 39 other but less applicable candidates 8 related from intelligence sector. It further reviewed 5 EU tools, 19 funded projects, 17 academic projects 3 resources. Based on research, initial benchmarking was performed using refined criteria, resulting in identification 10 top deeper analysis. These were assessed through in‐depth including direct provider interactions. Questionnaires sent lower‐scoring platforms validate research. A final analysis, accompanied by SWOT produced candidates. framework evaluation, incorporating various levels actions, actors, knowledge, developed linked maturity model assess platforms’ suitability different levels. identifies that are suitable EFSA's current future needs could provide insights agencies organizations with similar misinformation monitoring scale.

Language: Английский

Citations

0

The Impact of Artificial Intelligence on Trustworthiness and Authenticity in Green Influencer Marketing DOI Creative Commons

Chirag Harchandani,

Aditya Singh Chandrawat,

Ayushi Upadhyay

et al.

Integrated Journal for Research in Arts and Humanities, Journal Year: 2025, Volume and Issue: 5(2), P. 41 - 46

Published: March 16, 2025

In recent times, influencer marketing has become one of the crucial components digital tactics. We are living in a social media age where influencers have key voices all fields and initiatives becoming increasingly successful. They started integrating AI into their content, analysis audience engagement processes which can be great benefit to them but at same time, it presents new challenges for authenticity genuineness. The findings research show positive impact Artificial intelligence on Influencer also aims identify faced green how impacts its perceived trustworthiness across major platforms including Instagram, YouTube. Through sustainability-focused posts from survey responses followers, this paper examines difference between AI-enhanced content authentic content. It identifies followers respond preferences affects trust, particularly AI-generated contribute emerging theories marketing.

Language: Английский

Citations

0

Monitoring of Sustainable Development Trends: Text Mining in Regional Media DOI Open Access
Galina Chernyshova,

Evgeniy Taran,

Аnna Firsova

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3122 - 3122

Published: April 1, 2025

The monitoring of regional development sustainability is closely linked to the an indicator system that best meets stakeholders’ requirements, providing a solid foundation for strategic decision-making. In pursuit progress in achieving Sustainable Development Goals (SDG), efforts are continuously being undertaken refine and enhance framework. Implementing interdisciplinary approaches comprehensive assessment sustainable regions allows swift expansion augmentation data on transformations. An important aspect study at level additional possibility using unstructured news content through text mining methods. issue applying natural language processing techniques Russian-language sources significant, as large number relevant tools developed English. Additionally, analysis has several features complicate classification sentiments messages with mostly neutral wording. proposed methodology specific assessing was implemented. application scraping developed, were collected taking into account selected periods, stop word dictionaries configured, frequency implemented, sentiment obtained slices carried out. For formed set documents related by keywords according SDGs 1–17, Volga Federal District, corpus representing 2021, 2022, 2023 14 regions. key topics different areas periods out cosine similarity measure. approach increasing efficiency various topics. This been tested systemic operational dynamics Text methods within framework decision support provide opportunity identify emerging trends.

Language: Английский

Citations

0

SOCIAL MEDIA AND GERIATRIC HEALTH: PROMISES AND PITFALLS DOI Creative Commons
Lakshmi Nagendra, Manasik Mamoun, Latika Gupta

et al.

Anti-Aging Eastern Europe, Journal Year: 2025, Volume and Issue: 4(1), P. 64 - 66

Published: April 2, 2025

SOCIAL MEDIA AND GERIATRIC HEALTH: PROMISES PITFALLS

Language: Английский

Citations

0

Digital transformation of youth violence in Indonesia: new responsibilities and social negotiations in the digital age DOI Creative Commons
Irwanto Irwanto, Tuti Bahfiarti, Andi Alimuddin Unde

et al.

Frontiers in Communication, Journal Year: 2025, Volume and Issue: 10

Published: April 8, 2025

Digital transformation has significantly changed how Indonesian society addresses youth violence. However, current frameworks fail to address the unique dynamics in collectivist digital environments. This perspective article examines role of platforms as arenas for social negotiation and systemic change Indonesia, introducing Collective Resonance Communication Model (CRCM) clarify information flows cultures. By analyzing three notable cases violence, we evaluate influence cultural values on discourse institutional accountability. Our findings indicate that spaces demonstrate greater cross-group interaction (15–25%) compared individualistic environments, thus challenging previously accepted theories about echo chambers. The CRCM model outlines five essential components illustrate shape communication patterns foster change. integrating dimensions with dynamics, propose a framework understanding societies utilize violence while maintaining harmony. These insights inform policy recommendations culturally informed interventions.

Language: Английский

Citations

0

Influencer self-disclosure practices on Instagram: A multi-country longitudinal study DOI Creative Commons
Thales Bertaglia, Cătălina Goanță, Gerasimos Spanakis

et al.

Online Social Networks and Media, Journal Year: 2024, Volume and Issue: 45, P. 100298 - 100298

Published: Dec. 21, 2024

Language: Английский

Citations

2