Algorithmic recommendations mediate interactions between millions of customers and
products (in turn, their producers and sellers) on large e-commerce marketplaces like …

Recommender systems have been an important tool to filter and tailor the best content for
online users. Classical recommender system methods typically face the filter bubble …

Although diverse news stories are actively posted on social media, readers often focus on
the news which reinforces their pre-existing views, leading to'filter bubble'effects. To combat …

To improve the experience of consumers, all social media, commerce and entertainment
sites deploy Recommendation Systems (RSs) that aim to help users locate interesting …

Abstracts: The prevalence of filter bubbles in recommender systems has raised concerns
about the potential impact on user experiences and information exposure. This systematic …

Over the last decade, the advent of social media has profoundly changed the way people
produce and consume information online. On these platforms, users themselves play a role …

As people increasingly rely on social media platforms such as Twitter to consume
information, there are significant concerns about the diversity of news consumption. Users …

Segregation is the separation of social groups in the physical or in the online world.
Segregation discovery consists of finding contexts of segregation. In the modern digital …