42 citations · 42 across the 4 of their papers we have counts for
4 papers
Evidence of political bias in search engines and language models before major elections
Íris Damião, Paulo Almeida, João Franco +3
Search engines (SEs) and large language models (LLMs) are central to political information access, yet their algorithmic decisions and potential underlying biases remain underexplo…
Digital Epidemiology after COVID-19: impact and prospects
Sara Mesquita, Lília Perfeito, Daniela Paolotti +1
Epidemiology and Public Health have increasingly relied on structured and unstructured data, collected inside and outside of typical health systems, to study, identify, and mitigat…
Learning from pandemics: using extraordinary events can improve disease now-casting models
Sara Mesquita, Cláudio Haupt Vieira, Lília Perfeito +1
Online searches have been used to study different health-related behaviours, including monitoring disease outbreaks. An obvious caveat is that several reasons can motivate individu…
Some scientific knowledge is a dangerous thing: overconfidence grows non-linearly with knowledge
Simone Lackner, Frederico Francisco, Cristina Mendonça +2
Overconfidence is a prevalent problem and particularly consequential in its relation with scientific knowledge: being unaware of one`s own ignorance can affect behaviours and threa…