Gionis Lab

Royal Institute of Technology (KTH)

Östra Sverige (SE1) · Sweden

ERC-funded
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ERC Advanced Grant · 2018

An algorithmic framework for reducing bias and polarization in online media

Online media is an important part of modern information society, offering a podium for public discourse and hosting the opinions of hundreds of millions of individuals. Online media are often credited for providing a technological means to break information barriers and promote diversity and democracy. In practice, however, the opposite effect is often observed: users tend to favor content that agrees with their existing world-view, get less exposure to conflicting viewpoints, and eventually create information silos and increased polarization. Arguably, without any kind of mediation, current social-media platforms gravitate towards a state in which net-citizens are constantly reinforcing…

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