THE IMPACT OF DIGITAL DISINFORMATION ON QUALITY OF LIFE: A FUZZY MODEL ASSESSMENT
Author:
Gavurova Beata1ORCID, Moravec Vaclav2ORCID, Hynek Nik3ORCID, Miovsky Michal4ORCID, Polishchuk Volodymyr5ORCID, Gabrhelik Roman4ORCID, Bartak Miroslav1ORCID, Petruzelka Benjamin1ORCID, Stastna Lenka4ORCID
Affiliation:
1. Department of Addictology, First Faculty of Medicine, Charles University, Prague, Czech Republic 2. Department of Journalism, Faculty of Social Sciences, Charles University, Prague, Czech Republic 3. Department of Security Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic 4. Department of Addictology, First Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Addictology, General University Hospital in Prague, Prague, Czech Republic 5. Department of Information Technology, Uzhhorod National University, Uzhhorod, Ukraine
Abstract
Quality of Life (QoL) is a multifaceted concept encompassing economic, social, environmental, psychological, and physical dimensions of an individual’s life, including personal living conditions, happiness, well-being, and life satisfaction. As a vital criterion for sustainable development and active social policy in countries, QoL has been significantly influenced by the dynamic technological evolution of social media. However, the comprehensive impact of social media, including its role in disseminating disinformation – a major social and socio-economic concern – on QoL remains underexplored. This research aims to develop a novel fuzzy model to assess the level of disinformation on digital platforms and its correlation with the population’s QoL. Employing a mathematical approach rooted in expert evaluation, this study leverages intellectual knowledge analysis and fuzzy set theory. Grounded in data from real respondents and knowledge-based models, this study pioneers an information model to evaluate inhabitants’ QoL, incorporating factors such as financial concerns, perception of disinformation, and its influence on digital platforms. The fuzzy estimation model, verified with data from 3,036 respondents, quantitatively assesses citizens’ QoL. An illustrative application of the model demonstrates its effectiveness. The findings are particularly valuable for policymakers, experts in economic and innovative development, aiding the creation of regulatory and monitoring mechanisms to foster sustainable economic growth and devise effective development strategies.
Publisher
Vilnius Gediminas Technical University
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