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The aim of this Open Education Resource is to highlight the critical role of trust and expertise in democratic societies. It emphasizes the importance of democratic features such as public dialogue, shared values, citizen engagement, safeguards, and informed participation. The resource also examines how disinformation negatively impacts democratic systems by undermining knowledge and trust, limiting access to reliable information, blurring fact-opinion distinctions, and fostering polarization and echo chambers. It further explores the threat disinformation poses to democratic values, freedom of thought, privacy, and participation, even distorting core democratic processes like elections. Ultimately, the resource underscores the significance of trust in legitimizing democratic institutions and the delicate balance required for effective democratic governance. The interactive OER is available at this link: https://view.genial.ly/64eeeb553386e60018645e32/presentation-221-oer | This OER was developed in collaboration between: "Mihai Viteazul" National Intelligence Academy (MVNIA) - Romania, Cyberimaginario Research Group of Rey Juan Carlos University - Spain, L-Università ta' Malta and New Strategy Center - Romania.
Resilience, Digital Competence Framework for Citizens, Misinformation, OER, Fakenews, Disinformation
Resilience, Digital Competence Framework for Citizens, Misinformation, OER, Fakenews, Disinformation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |