News recommender systems (NRS) are becoming a ubiquitous part of the digital media
landscape. Particularly in the realm of political news, the adoption of NRS can significantly …

Content recommender systems have become commonplace in all digital platforms, and they
profoundly alter the media content presented to users. This also applies to news …

This study contributes with in-depth knowledge on how algorithmic news recommendation is
adopted within the Scandinavian daily press and how notions of gatekeeping affect the use …

Scholars are increasingly studying how news recommenders can provide audiences with
diverse news offers. However, despite their increased interest, little research has been …

With the increasing implementation of algorithms across various news platforms,
understanding news consumers' subjective perceptions of algorithmic-based news …

News recommenders are attracting widespread interest in scholarly work. The current
research paradigm, however, holds a narrow (mostly user-centered) perspective on the …

As news selection is increasingly controlled by algorithms, a growing number of scholars are
exploring how news recommenders can serve public services. Despite aspirations towards …

Algorithmic recommender systems are on the rise in various societal domains, including
journalism. While they offer great promise by making useful selections of large content …

This paper proposes a vision and research agenda for the next generation of news
recommender systems (RS), called the table d'hôte approach. A table d'hôte (translates as …

Journalistic media increasingly address changing user behaviour online by implementing
algorithmic recommendations on their pages. While social media extensively rely on user …