Objectif
Disinformation is a growing and pervasive problem in modern society. Adolescents spend over 6.5 hours per day on their smartphones and many use social media as a primary information source. There is ample indication in the developmental science literature that adolescents might be particularly susceptible to disinformation. Yet surprisingly little is known about how susceptibility to disinformation changes throughout adolescence and how we might foster youths resilience against disinformation. Here I propose an innovative research program to develop the first comprehensive account of susceptibility to disinformation during adolescence. With this fundamental knowledge, I will develop new instruments to promote truth discernment in youths, which are urgently needed in todays digital era. While many prior developmental studies rely on self-reported online activities, the proposed research will innovate this field by gaining deep and objective insights by applying natural language models to adolescents social media data, computational models of reinforcement learning and decision-making in novel experimental paradigms, and network analyses to capture the interplay between risk factors. This approach will gain novel and necessary insights into: 1. the types of (dis)information that adolescents encounter on social media. 2. How persuasion techniques affect adolescents' veracity judgements and information sharing decisions. 3. The learning processes that underlie social influence and impact adolescents veracity judgements and information sharing decisions. 4. The individual differences which make adolescents more susceptible to disinformation and extreme views. The findings will result in a comprehensive, fundamental understanding of adolescents susceptibility to disinformation, including risk factor contexts, and the first evidence-based educational program against disinformation tailored to youths age specific needs.
Champ scientifique (EuroSciVoc)
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
- ingénierie et technologiegénie électrique, génie électronique, génie de l’informationingénierie de l’informationtélécommunicationtéléphone mobile
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Mots‑clés
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Thème(s)
Régime de financement
HORIZON-ERC - HORIZON ERC GrantsInstitution d’accueil
2311 EZ Leiden
Pays-Bas