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 ...
There is a strong need for data protection laws that can adequately address the challenges of user data being misused and harvested without consent by third-party applications, political parties/politicians, researchers, and others.
How useful can machine-learning be in dealing with vectors of disinformation such as deep fakes or bots, and what are the implications of AI-powered fact-checking and deprioritising systems for media pluralism and freedom of expression?
onMarch 20, 2019
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