Are we defenseless against AI, deepfake, and the rapid spread of disinformation? Join the first episode in our podcast series part of the Jean Monnet Chair EU-ACT DIGITAL, an initiative spotlighting EU digital policy. Our very first guest, Member of European Parliament Bart Groothuis (part of the Committee on Industry, Research and Energy), provides his expert insights on the state of digitalisation in the EU while being interviewed by European Impact’s Paul Schuchhard and European Studies students Francisco van Ruijven and Joana Pereira Grilo from The Hague University of Applied Sciences. Visit https://eu-act.digital/ to find out more about the Jean Monnet Chair EU-ACT DIGITAL.
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SMILES is an international project where six organisations from three countries are collaborating to develop and test innovative approaches to combating the spread of fake news. The project is led by KB, the National Library of the Netherlands and the other partners are the Institute of Sound and Vision and The Hague University of Applied Sciences from the Netherlands, Fundación Goteo/Platoniq from Spain, and Public Libraries 2030 and the Media and Learning Association both of whom will focus on the situation in Belgium. In this article I would like to report on the main results from the baseline study that was carried out in recent months regarding the spread of disinformation in Belgium, the Netherlands and Spain, and existing measures and interventions that have taken place in those countries in combating such disinformation. Detailed reports for each country can be found on the project website.
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Despite increased attention since 2015, there is little consensus on why audiences believe or share disinformation. In our study, we propose a shift in analytical perspective by applying the concept of resilience. Through a systematic literature review (n = 95), we identify factors that have been linked to individuals’ resilience and vulnerability to disinformation thus far. Our analysis reveals twelve factors: thinking styles, political ideology, worldview and beliefs, pathologies, knowledge, emotions, (social) media use, demographics, perceived control, trust, culture, and environment. By applying the results to the socio-ecological model (SEM), we provide a comprehensive view on what constitutes resilience to disinformation, delineate between different levels of influence, and identify relevant gaps in research. Our conceptualization contributes to an under-theorized field, in which the term resilience is much used yet rarely sufficiently defined.
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