A filter bubble refers to the phenomenon where Internet customization effectively isolates
individuals from diverse opinions or materials, resulting in their exposure to only a select set …

The Internet has revolutionised the way information is retrieved, and the increase in the
number of users has resulted in a surge in the volume and heterogeneity of available data …

Recommender systems are the algorithms which select, filter, and personalize content
across many of the world's largest platforms and apps. As such, their positive and negative …

News recommender systems provide a technological architecture that helps shaping public
discourse. Following a normative approach to news recommender system design, we test …

In traditional recommender system literature, diversity is often seen as the opposite of
similarity, and typically defined as the distance between identified topics, categories or word …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

The original filter bubble thesis states that the use of personalization algorithms results in a
unique universe of information for each of us, with far-reaching individual and societal …

The online environment dramatically expands the number of ways people can encounter
news but there remain questions of whether these abundant opportunities facilitate news …

Adverse phenomena such as the search engine manipulation effect (SEME), where web
search users change their attitude on a topic following whatever most highly-ranked search …

Diversity is a crucial precondition for a democratic public discourse. In today's high-choice
media environments, exposure to diverse news is largely determined by individuals' …