Lupa

Search the repository Help

A- | A+ | Print
Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 5 / 5
First pagePrevious page1Next pageLast page
1.
Public perceptions of generative AI in creative industries : a Reddit-based text mining study
Mitja Bervar, Mirjana Pejić Bach, Tine Bertoncel, 2026, original scientific article

Abstract: The integration of generative AI into creative industries is reshaping how content is produced, evaluated, and distributed. While recent advancements offer new opportunities for automation and innovation, they also raise questions about authorship, authenticity, and professional identity. This study examines public discourse on generative AI in creative domains through a text-mining analysis of nearly 4000 Reddit posts and comments. Drawing on six relevant subreddits from 2022 to 2025, the research investigates the structure of user engagement, interaction dynamics, and language patterns. It identifies dominant terms and phrases related to AI creativity, explores thematic clusters, and compares discussion styles across key tools such as Midjourney, ChatGPT, Stable Diffusion, and DALL·E. Additionally, it provides a sentiment overview based on automated classification and narrative interpretation. The findings show that Reddit users engage with generative AI not only as a set of technical tools but as a source of cultural, ethical, and creative negotiation. This study contributes to a deeper understanding of how digital transformation in creative industries is shaped by public perception, platform discourse, and evolving community norms.
Keywords: artificial intelligence, generative artificial intelligence, creative industries, human–AI collaboration, creative labor, text mining, Reddit, business ecosystems, value creation
Published in RUP: 16.02.2026; Views: 267; Downloads: 8
.pdf Full text (650,97 KB)
This document has more files! More...

2.
Generative artificial intelligence and the creative industries : a bibliometric review and research agenda
Mitja Bervar, Tine Bertoncel, Mirjana Pejić Bach, 2026, review article

Abstract: Generative artificial intelligence (GenAI) is increasingly transforming creative industries through its ability to generate high-quality content, raising critical questions about authorship, ownership, and the future of creative labor. This paper addresses these challenges by conducting a systematic bibliometric review of 119 peer-reviewed articles on GenAI in the creative sectors, published between 2023 and 2025. The study applies PRISMA 2020 guidelines and keyword co-occurrence analysis using VOSviewer to identify thematic clusters and map research trends. The central research question is how the academic literature conceptualizes the role and impact of GenAI within creative industries and how this has evolved over time. Findings reveal nine major thematic areas, ranging from technical implementations to ethical, economic, and institutional perspectives. The analysis shows that recent research emphasizes not only the technological capacities of GenAI, but also its implications for value creation, creative agency, and industry structures. The main contribution of the paper lies in offering a structured overview of current research trajectories, clarifying conceptual ambiguities, and highlighting understudied areas—particularly regarding the intersection of GenAI, platform economies, and labor dynamics. The review also identifies a methodological gap in comparative empirical studies and proposes directions for future research. By mapping the evolving discourse on GenAI in creative industries, this study contributes to both scholarly understanding and policy development. It provides a foundation for interdisciplinary inquiry and a forward-looking agenda for critically assessing GenAI’s role in reshaping creative work.
Keywords: artificial intelligence, creative industries, human–AI collaboration, creative labor, business ecosystems, value creation
Published in RUP: 16.02.2026; Views: 251; Downloads: 3
.pdf Full text (3,52 MB)
This document has more files! More...

3.
Implementation of the Slovenian act on the treatment of children and adolescents with emotional and behavioural problems or disorders in education
Matej Vukovič, Mitja Krajnčan, Katja Vrhunc Pfeifer, 2025, original scientific article

Abstract: In 2020, Slovenia implemented the Act on the Treatment of Children and Adolescents With Emotional and Behavioural Problems or Disorders in Education. Using a mixed-methods approach, we investigated how professionals in expert centres1 and social work centres, youth judges, and paedopsychiatrists, as key stakeholders responsible and competent for the professional and lawful treatment of such youth, seek and implement the most appropriate forms of assistance for them, and how they assess the implementation of the Act and the cooperation amongst them. Data were collected through four tailored questionnaires, as well as focus groups and semi-structured interviews. The research is part of a larger Slovenian study entitled Phenomenological and aetiological analysis of emotional and behavioural problems and disorders and the development of didactic approaches for specific subtypes of problems and disorders, not yet published. Based on the opinions of these experts from various fields, we identified shortcomings in the system of support, including what should be eliminated or changed, and what new forms of support and cooperation among stakeholders would be reasonable and necessary to introduce. The results of the survey are also important for understanding the competences, responsibilities, and cooperation among social work centres, expert centres, paedopsychiatrists, and youth judges.
Keywords: deinstitutionalisation, children and adolescents, emotional problems, behavioural challenges, collaboration, legislation implementation
Published in RUP: 26.11.2025; Views: 398; Downloads: 8
.pdf Full text (333,11 KB)
This document has more files! More...

4.
The use of collaboration distance in scheduling conference talks
Jan Pisanski, Tomaž Pisanski, 2019, original scientific article

Keywords: collaboration distance, scheduling, orthogonal partitions
Published in RUP: 11.02.2020; Views: 5231; Downloads: 70
URL Link to full text

5.
Search done in 0 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica