FAKEOLOGY
Financiado
Fake news and pseudo science as post modern mythology The case of the anti vacc...
Fake news and pseudo science as post modern mythology The case of the anti vaccination movement
FAKEOLOGY draws links between pseudoscience, populism and health literacy and focuses on the anti-vaccination movement to provide a key venue wherein mis- and dis-information can be studied. Specifically, the project studies how p...
FAKEOLOGY draws links between pseudoscience, populism and health literacy and focuses on the anti-vaccination movement to provide a key venue wherein mis- and dis-information can be studied. Specifically, the project studies how pseudo-scientific news is diffused within social networks and how it affects human judgement and behaviour. FAKEOLOGY aims at enhancing the efficiency of science communication and at empowering public health policy makers to introduce fake-proof health literacy initiatives. Bridging large-scale social media data with news media (network analysis, content and discourse analysis) and behavioural data (focus groups, expert interviews, lab experiment), the project focuses on how pseudo-science propagates within the digital media ecosystem.
Pseudoscience, and, specifically, the anti-vaccination movement, demonstrate a unique case study that indicates the longevity of the ‘fake news phenomenon’ as anti-vaccine myths started spreading decades ago and still feed the movement’s narrative. The popularity of vaccine hesitancy is growing, in spite of the scientific data that systematically debunk its claims, resulting in the resurgence of vaccine-preventable diseases. Within the digital terrain, anti-vaccination groups have even grown in visibility and volume and research demonstrates that Twitter constitutes a popular platform for anti-vaccination supporters.
Using state-of-the-art media analytics technologies developed by the MIT Media Lab and building on science communication developed at the University of Zurich, the project contributes to cutting-edge research with an analytic model that can be fine-tuned to study veracity and falsity in the digital networked paradigm.
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Duración del proyecto: 45 meses
Fecha Inicio: 2019-03-29
Fecha Fin: 2023-01-06
Fecha Fin: 2023-01-06
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2023-01-06
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-IF-2018:
Individual Fellowships
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
279K€
Líder del proyecto
UNIVERSITAT ZURICH
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
993.35K€ |
Participante