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Towards a computational cognitive perspective of misinformation
{Misinformation presents a challenge to societies worldwide but the cognitive computations underlying its detection and use are only coarsely understood. In this talk, I will introduce a behavioural task and accompanying Bayesian models that allow us to study key aspects of the phenomenon and frame it as a learning problem about the trustworthiness of information providers. Alongside, I will present pilot data, highlighting participants{\textquotesingle} successes and failures.}
@misc{item_3345739, title = {{Towards a computational cognitive perspective of misinformation}}, booktitle = {{NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists)}}, abstract = {{Misinformation presents a challenge to societies worldwide but the cognitive computations underlying its detection and use are only coarsely understood. In this talk, I will introduce a behavioural task and accompanying Bayesian models that allow us to study key aspects of the phenomenon and frame it as a learning problem about the trustworthiness of information providers. Alongside, I will present pilot data, highlighting participants{\textquotesingle} successes and failures.}}, pages = {11}, address = {T{\"u}bingen, Germany}, year = {2021}, note = {22nd Conference of Junior Neuroscientists (NeNa 2021)}, slug = {item_3345739}, author = {Schulz, L and Schulz, E and Bhui, R and Dayan, P} }