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 …

Polarization arises when the underlying network connecting the members of a community or
society becomes characterized by highly connected groups with weak intergroup …

While personalization increases the utility of recommender systems, it also brings the issue
of filter bubbles. eg, if the system keeps exposing and recommending the items that the user …

Recommender systems usually face the issue of filter bubbles: over-recommending
homogeneous items based on user features and historical interactions. Filter bubbles will …

Automated recommendations can nowadays be found on many e-commerce platforms, and
such recommendations can create substantial value for consumers and providers. Often …

This study explores partisan and group heterophily within cross-platform online communities
that share alternative news media content in Denmark, Sweden, Germany, and Austria. The …

Designing recommendation systems that serve content aligned with time varying
preferences requires proper accounting of the feedback effects of recommendations on …

Recommender systems, in real-world circumstances, tend to limit user exposure to certain
topics and to overexpose them to others to maximize performance. However, repeated …

During their information seeking people tend to filter out all the parts of the available
information that do not fit their existing beliefs or opinions. In this paper we present a model …

As online social networks have become dominant platforms for public discourse worldwide,
there is growing anecdotal evidence of a concurrent rise in social antagonisms. Yet, while …