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An algorithmic framework for reducing bias and polarization in online media

Project description

Algorithms to reduce insufficiencies in online media

The rise of online media created the expectation of more democratic and diverse information and of a real public debate. However, the spread of online media and of social media in particular revealed that its effects instead of promoting diversity established silos and created polarisation. Observers noted that users tend to follow those media that support their views, avoiding contact with those promoting conflicting views. As a result, net citizens tend to reinforce their existing beliefs and opinions instead of considering all views. The EU-funded REBOUND project will develop theoretical schemes and a specific set of algorithmic techniques to inquire about insufficiencies in online media. The project aims to propose new methods that will support diversity in online media.

Host institution

KUNGLIGA TEKNISKA HOEGSKOLAN
Net EU contribution
€ 2 490 087,00
Address
Brinellvagen 8
100 44 Stockholm
Sweden

See on map

Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
Other funding
€ 2 500,50

Beneficiaries (1)

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden
Net EU contribution
€ 2 490 087,00
Address
Brinellvagen 8
100 44 Stockholm

See on map

Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
Other funding
€ 2 500,50