A new open access paper, published in Nature, Humanities and Social Sciences Communications volume 11, provides a practical risk management tool to counter fake news.
Title: Fake news: a conceptual model for risk management
Authors: João Varela da Costa, Silvia Bogea Gomes, and Miguel Mira da Silva: Computer Science and Engineering Department, Instituto Superior Técnico, Lisbon, Portugal.
Abstract (verbatim)
This article proposes a model based on a systematic literature review (SLR) that investigates the intersection of Fake News, Risk, and Risk Management. Employing Design Science Research as the primary methodology, it introduces a conceptual model to mitigate Fake News-related risks in specific communities. The model uses ArchiMate to depict a community as an organisational entity, exemplifying its practicality through a Fake News instance from the Central European Digital Media Observatory. The research undergoes rigorous evaluation using the Bunge-Wand-Weber Model, ensuring its consistency and value to the scientific community. This evaluation formalises the proposed conceptual model, offering a structured framework systematically mapping Fake News concepts to mitigate associated risks and disinformation. This study contributes to the Fake News management discourse, providing a practical risk management tool to counter the phenomenon.
