The purpose of this study is to demonstrate the applicability of Multi-Criteria Decision Analysis (MCDA) through a systematic approach using M-Macbeth to present alternatives for mitigating high-impact instances of disinformation in a community and measure the attractiveness of the options.
The recent advent of Fake News (FN) and disinformation poses a significant threat to a community, organisation or individual, contributing to the erosion of public trust in institutions and democracy. This is aggravated should the authors consider the multiplicity of FN and, thus, the multitude of risk and their impact on the community. This research proposes tackling FN as a digital risk by applying an MCDA to select the appropriate countermeasures for Law Enforcement Agencies to tackle disinformation and FN crimes.
Results indicate that to mitigate risk effectively, prioritising risk using adequate strategies and appropriate courses of action is crucial.
Nevertheless, the contributions of this research work allowed us to comprehend the best option to mitigate the risk of FN and provide a realistic approach to support Law Enforcement in decision analysis.
