20.500.12556/DKUM-98246 A model for high-frequency detection of current risks based on news analysis and decentralized social networks This article presents a data-driven model for identifying current risks in non-financial companies, supporting managerial and supervisory decision-making. The model integrates signals from the global news database GDELT and the decentralized social media platform Nostr into a structured risk register aligned with COSO ERM and ISO 31000 frameworks. Using standardized indicators of relevance and dynamics, it enables comparable monitoring of changes in the risk environment over time and across different sources. Empirical results from both sources indicate remarkable differences while complementing each other: news data provides a more stable, event-driven signal, while decentralized signals enable earlier risk detection. Forward-looking validation demonstrates that these indicators contain economically meaningful information, improving the prediction of future systematic risk beyond traditional approaches. The model does not replace existing methods of risk management, but supplements them with continuous, data-driven input into the decision-making processes of management and supervisory boards. news analysis social media risk register risk management true false true Angleški jezik Angleški jezik Znanstveno delo 2026-05-29 12:42:14 2026-05-29 12:42:15 2026-05-30 03:17:57 0000-00-00 00:00:00 2025 0 0 Str. 1-23 article no. ǂ28 Vol. 28 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-02-12 2026-04-12 2026-04-20 005.334 279852803 10.1057/s41283-026-00214-x 1743-4637 https://link.springer.com/article/10.1057/s41283-026-00214-x 1 c86ee8f7-5b4a-11f1-ad61-00155d580e34 https://dk.um.si/Dokument.php?lang=slv&id=206550 RAZ_Jagric_Timotej_2025.pdf RAZ_Jagric_Timotej_2025.pdf 1 FA313AA84CB90E60AA8FB168579D2EBD 0547b4756b0c22ed585252f908bffaafcb53122f5e612490a09279f94e926425 021a95fb-5b4b-11f1-ad61-00155d580e34 https://dk.um.si/Dokument.php?lang=slv&id=206553 Ekonomsko-poslovna fakulteta 0 0 0