Viewpoint diversity in search results
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 …
search users change their attitude on a topic following whatever most highly-ranked search …
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
L Michiels, J Vannieuwenhuyze, J Leysen… - Proceedings of the 17th …, 2023 - dl.acm.org
News media play an important role in democratic societies. Central to fulfilling this role is the
premise that users should be exposed to diverse news. However, news recommender …
premise that users should be exposed to diverse news. However, news recommender …
Bootstrapped personalized popularity for cold start recommender systems
Recommender Systems are severely hampered by the well-known Cold Start problem,
identified by the lack of information on new items and users. This has led to research efforts …
identified by the lack of information on new items and users. This has led to research efforts …
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 …
Radio*–an introduction to measuring normative diversity in news recommendations
S Vrijenhoek, G Bénédict… - ACM Transactions on …, 2024 - dl.acm.org
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 …
similarity and typically defined as the distance between identified topics, categories, or word …
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 …
Normalize: The first workshop on normative design and evaluation of recommender systems
Recommender systems are among the most widely used applications of artificial
intelligence. Since they are so widely used, it is important that we, as practitioners and …
intelligence. Since they are so widely used, it is important that we, as practitioners and …
EB-NeRD a large-scale dataset for news recommendation
Personalized content recommendations have been pivotal to the content experience in
digital media from video streaming to social networks. However, several domain specific …
digital media from video streaming to social networks. However, several domain specific …
A framework and toolkit for testing the correctness of recommendation algorithms
Evaluating recommender systems adequately and thoroughly is an important task.
Significant efforts are dedicated to proposing metrics, methods, and protocols for doing so …
Significant efforts are dedicated to proposing metrics, methods, and protocols for doing so …
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
The RecSys Challenge 2024 aims to advance news recommendation by addressing both
the technical and normative challenges inherent in designing effective and responsible …
the technical and normative challenges inherent in designing effective and responsible …