Project MULTIVIEW

NLP methods for balanced news recommendation

MULTIVIEW

Start

January 2025

PI

Tanise Ceron, Amelie Wuehrl

Short description

In this project we develop methods and models for balanced news recommendation.

Sponsor

Vector Stiftung

Long description

Recommendation algorithms have a profound impact on democracies: They can boost or hinder the interaction of citizens with several opinions  and viewpoints. In the MULTIVIEW project, we investigate  NLP methods for automatically identifying perspectives in news articles.

This can be implemented in recommender systems to provide a wide view of perspectives to users. Based on balanced recommendations, users can broaden their understanding of current issues and activley encouraged to consume news beyond their filter bubbles. 

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