It ain't easy: using normatively motivated news diversification to facilitate policy support, tolerance, and political participation
Proponents of 'democratic news recommender design'argue that algorithmic news
diversification may facilitate democratic participation. However, while various news …
diversification may facilitate democratic participation. However, while various news …
Recommendations for the recommenders: Reflections on prioritizing diversity in the recsys challenge
The RecSys Challenge 2024, co-organized by the Danish news outlet Ekstra Bladet, called
for participants to develop a news recommender system that accurately predicts which news …
for participants to develop a news recommender system that accurately predicts which news …
A multi-factorial analysis of polarization on social media
Polarization is an increasingly worrying phenomenon within social media. Recent work has
made it possible to detect and even quantify polarization. Nevertheless, the few existing …
made it possible to detect and even quantify polarization. Nevertheless, the few existing …
Gaining a better understanding of online polarization by approaching it as a dynamic process
Polarization is often a cliché, its conceptualization remains approximate and no consensus
has been reached so far. Often simply seen as an inevitable result of the use of social …
has been reached so far. Often simply seen as an inevitable result of the use of social …
It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics
H Vandenbroucke, A Smets - Proceedings of the 18th ACM Conference …, 2024 - dl.acm.org
Recommender systems are increasingly used by news media organizations. Existing
literature examines various aspects of news recommender systems (NRS) from a …
literature examines various aspects of news recommender systems (NRS) from a …
Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study
News recommender systems are an increasingly popular field of study that attracts a
growing interdisciplinary research community. As these systems play an essential role in our …
growing interdisciplinary research community. As these systems play an essential role in our …
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach
In this paper, we introduce a novel approach to improve the diversity of Top-N
recommendations while maintaining recommendation performance. Our approach employs …
recommendations while maintaining recommendation performance. Our approach employs …
All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media
Online polarization has attracted the attention of researchers for many years. Its effects on
society are a cause for concern, and the design of personalized depolarization strategies …
society are a cause for concern, and the design of personalized depolarization strategies …
IDEA–Informfully Dataset with Enhanced Attributes
In this paper, we present the Informfully Dataset with Enhanced Attributes (IDEA) for news
article recommendations. The dataset consists of an open-source collection of user profiles …
article recommendations. The dataset consists of an open-source collection of user profiles …
[PDF][PDF] Classification of Normative Recommender Systems.
L Heitz - NORMalize@ RecSys, 2023 - researchgate.net
Recommender systems are a primary source for providing user-facing information in a
variety of mediums and domains, ranging from movies and news to job advertisements. The …
variety of mediums and domains, ranging from movies and news to job advertisements. The …