301. Razvoj ustavnosti v Republiki Albaniji : magistrsko deloAdrian Maliqi, 2025, master's thesis Abstract: Magistrsko delo Razvoj ustavnosti v Republiki Albaniji bo predstavilo ustave v tej državi od njenega nastanka, tj. leta 1912. V delu bo predstavljeno tudi bogato obče pravo, kjer bo poudarek na treh zakonikih, od katerih dva nosita ime po dveh albanskih herojih, in sicer Lekë Dukagjiniju in Gjergj Kastriotiju Skenderbegu. Sprva bo predstavljeno obče pravo, nato pa bo delo predstavilo ustave v obdobju od nastanka države in vse do konca druge svetovne vojne. Videli bomo, da je Albanija v tem času imela kar štiri ustave, pri čemer je bila prva plod mednarodnih sil. Nadalje bo delo predstavilo obdobje po drugi svetovni vojni, ko na oblast pride Enver Hoxha in z njim komunizem. V tem obdobju je Albanija imela tri ustave, pri čemer je bila zadnja iz leta 1976 najbolj rigorozna. Po padcu komunizma se je nato soočala z novimi izzivi, kateri ji do tedaj niso bili znani, saj je več kot 40 let preživela v izolaciji, odrezana od sveta. V začetku ’90 let sprejme ustavni zakon, ki je bil v veljavi do leta 1998, ko je bila sprejeta ustava. Delo bo predstavilo ta ustavni zakon in odločbe Ustavnega sodišča v tem času, tj. od 1992 do 1996. Slednje z namenom, da vidimo, kako so tedaj razmišljali ustavni sodniki. Nadalje bo delo predstavilo ustavo iz leta 1998 in pa zelo zanimivo ter odmevno reformo pravosodja iz leta 2015, ki je bila zahtevana s strani EU kot pogoj za začetek pristopnih pogajanj.
Keywords: Albanija, ustava, obče pravo, Enver Hoxha, komunizem, demokracija
Published in ReVIS: 14.04.2025; Views: 284; Downloads: 10
 Full text (1,63 MB) |
302. Tell me your companionship, and I will tell you who you are. Establishing and maintaining networking interactions of university-industry collaboration in the Danube regionTamara Besednjak Valič, Janez Kolar, Urša Lamut, 2025, original scientific article Abstract: University-Industry collaboration has drawn much attention in recent years when it comes to organizational studies. To enhance their competitiveness and innovativeness, Small and Medium Enterprises (SMEs) must be ready to interact with a broad range of external actors - as in our case, academic High-Performance Computers (HPC) centres. The present discussion will draw attention to processes of creation of networking interactions. The research was conducted in 14 countries of the Danube Region, and it reveals conditions for creating and maintaining networking interactions between academic HPC providers and SMEs working in the automotive or electronic sectors. The main research questions the article addresses are a) how the networking interactions are initiated and structured in the Danube region, and b) what are the characteristi of networking interactions between automotive and electronic sector SMEs and academic HPC providers of the region.
Keywords: University-industry cooperation, network interactions, social capital, academic HPC centres, SMEs, Danube Region
Published in ReVIS: 14.04.2025; Views: 321; Downloads: 8
Full text (493,25 KB)
This document has many files! More... |
303. Modeliranje mednarodnih migrantskih tokov na BalkanuBlaž Rodič, Aleš Bučar-Ručman, Igor Bernik, 2021, published scientific conference contribution Abstract: Politično dinamiko v Evropski uniji od leta 2015 naprej je močno zaznamovala begunska ali migrantska kriza, ki je
polarizirala politično areno in sprožila intenzivno politično razpravo, ki je vključevala različne teze o vzrokih, naravi in posledicah te krize. V prispevku utemeljimo potrebo po novem pristopu k modeliranju migracij in predstavljamo stanje raziskave, v okviru katere razvijamo model mednarodnih migrantskih tokov, osredotočen na področje Balkana. Uporabljeni pristop predstavlja integracijo znanja in spoznanj iz družboslovnih in naravoslovnih znanosti in disciplin, ki po našem mnenju predstavlja najboljši okvir za razumevanje migracijskih procesov. Trdimo, da so kompleksni družbeni pojavi, kot so migracije, sami po sebi interdisciplinarni problemi, ki zahtevajo multidisciplinarni pristop in povezovanje vseh pomembnih vplivnih dejavnikov v odločitve migrantov in
vključevanje večih metod modeliranja. Tak pristop bi omogočil modeliranje migracijskih tokov na podlagi realističnega geopolitičnega modela in modeliranja procesov odločanja posameznikov in skupin v procesih migracij.
Keywords: migracije, Balkanska pot, modeliranje, simulacija, agentno modeliranje, teorije migracij, migracijska politika
Published in ReVIS: 14.04.2025; Views: 290; Downloads: 5
Full text (808,77 KB)
This document has many files! More... |
304. The false information epidemic in social media : overview of recent developments and researchBlaž Rodič, 2024, published scientific conference contribution abstract Abstract: Throughout history, crises in human society have often been accompanied by unintentional (misinformation) as well as deliberate (disinformation) spread of false information, dating back to ancient Egypt. However, the rise of online social networks has brought the magnitude of the so-called 'fake news' phenomenon to an unprecedented size. The World Economic Forum identifies disinformation as one of the foremost threats to human society. In our digital society, the rapid and widespread propagation of false information poses significant challenges to democratic processes. This contribution provides an overview of research on the spread of false informationon social networks, with a focus on major global crises such as the U.S. elections, the Covid-19 pandemic, and the war in Ukraine, and presents the results of our ongoing research project in this area.
Keywords: social media, misinformation, disinformation, fake news, simulation modelling
Published in ReVIS: 14.04.2025; Views: 275; Downloads: 1
 Link to file |
305. |
306. The Role of social networks in the spread of fake newsBlaž Rodič, 2024, published scientific conference contribution Abstract: Crises in human society have been accompanied by the deliberate and unintentional spread of false news since the time of ancient Egypt. However, the spread of misinformation has taken entirely new dimensions with the emergence of online social networks. According to the World Economic Forum, fake news represents one of the main threats to human society. The scope and speed of the dissemination of fake news and misinformation in today's world significantly negatively affect democratic processes. In this contribution, we present an overview of research on the spread of fake news on social networks, focusing on major global crises in recent times, such as the U.S. elections, the Covid-19 pandemic, and the war in Ukraine, and present the state of our ongoing research project in this field.
Keywords: misinformation, fake news, social networks, network diffusion, agent based modelling
Published in ReVIS: 14.04.2025; Views: 370; Downloads: 6
Full text (849,58 KB)
This document has many files! More... |
307. Social media bot detection research : review of literatureBlaž Rodič, 2025, professional article Abstract: This study presents a review of research on social media bot detection. Social media bots are used by political and criminal actors for mass distribution of political messages, as well as rumors, conspiracy theories, and other forms of false information. Through the spread of disinformation, bots are eroding the public trust in political and media institutions and integrity of social media. We have examined recent research publication in the field of social media bot detection, including several previous reviews of bot detection research, and identified the methods used in bot detection and issues encountered by researchers. Our review was conducted through a search of 5 main bibliographical databases, which has produced a total of 534 research papers and other publications. This collection was then filtered with exclusion and inclusion criteria to isolate the most pertinent documents, resulting in a focused selection of 49 documents that were analyzed for this review. In the first part of the paper we introduce the phenomenon of fake news within social networks, its connection with social media bot activity, and conclude the introduction with issues caused or exacerbated by bots. In the main part of this paper we first present the results of statistical analysis of the reviewed documents and then introduce the field of social media bot research, followed by an overview of the issues of social media bot detection identified in the reviewed literature, including the evolution of bot concealment techniques and the methodological issues presented in some of the bot detection studies. We then proceed with an overview of the methods and results from the reviewed research papers, structured according to the main methodology used in the examined studies. Our review concludes with examination of the recent trends in social media bot development and related bot detection research.
Keywords: social media, social networks, social media bots, Twitter bots, bot detection, misinformation, disinformation, fake news
Published in ReVIS: 14.04.2025; Views: 285; Downloads: 1
Link to file |
308. Bridging perceived and actual data quality : automating the framework for governance reliabilityTomaž Podobnikar, 2025, original scientific article Abstract: The discrepancy between perceived and actual data quality, shaped by stakeholders’ interpretations of technical specifications, poses significant challenges in governance, impacting decision-making and stakeholder trust. To address this, we introduce an automated data quality management (DQM) framework, implemented through the NRPvalid toolkit, as a standalone solution incorporating over 100 assessment tools. This framework strengthens data quality evaluation and stakeholder collaboration by systematically bridging subjective perceptions with objective quality metrics. Unlike traditional producer–user models, it accounts for complex, multi-stakeholder interactions to improve data governance. Applied to planned land use (PLU) data, the framework significantly reduces discrepancy, as quantified by error score metrics, and directly enhances building permit issuance by streamlining interactions among administrative units, municipalities, and investors. By evaluating, refining, and seamlessly integrating spatial data into the enterprise spatial information system, this scalable, automated solution supports constant data quality improvement. The DQM and its toolkit have been widely adopted, promoting transparent, reliable, and efficient geospatial data governance.
Keywords: perceived and actual data quality, data quality management, DQM, quality assurance/quality control, QA/QC, spatial data quality, data quality standards, data governance, planned land use, automation, uncertainty management, geospatial
Published in ReVIS: 14.04.2025; Views: 286; Downloads: 1
Full text (9,08 MB) |
309. A framework for bridging perceived and actual quality through automation : strengthening data reliability and governanceTomaž Podobnikar, 2025, other component parts Abstract: Following spatial data capture, stakeholders often invest significant resources to meet technical specifications. This challenge arises largely from varying interpretations of established standards, resulting in data that fails to meet the requirements for ingestion into the enterprise geospatial ecosystem. A key issue lies in the discrepancy between perceived data quality – how stakeholders understand or interpret the performance of the data, which is aligned with technical specifications – and actual data quality, which reflects objective performance when properly measured. The proposed data quality management (DQM) framework addresses this discrepancy by focusing on key aspects of spatial data quality, with an automated program playing a central role in bridging this divide. The framework enhances stakeholder communication and significantly improves the reliability of data governance by providing a comprehensive evaluation of data quality. This evaluation with the outputs combining error presentation through statistics, georeferenced files, and visualization enables rapid interpretation and error resolution. When applied to planned land use (PLU) data, this solution improved efficiency, enhanced overall data quality, and ensured seamless integration into the enterprise Spatial information system. This resulted in a higher level of maturity in data quality management.
Keywords: quality assurance/quality control (QA/QC), continuous process improvement, spatial data quality, data steward, data governance, planned land use data, perceived vs. actual data quality, geospatial, data quality management (DQM), uncertainty management
Published in ReVIS: 14.04.2025; Views: 324; Downloads: 2
Full text (2,66 MB) |
310. |
