Call For Papers

This workshop invites contributions in the realm of news recommendation and analytics. In addition to technical papers, we welcome interdisciplinary submissions. In this year’s edition, we mainly focus on: news personalization, news analytics, and the effect of Large Language Models (LLMs) on the news eco-system. Topics of interest for this workshop include but are not limited to:

News analytics and recommendation

Social media and news

Automated news generation, summarization and opinion mining

Multi-modality in the news domain

Self-supervised learning for news recommendation

Fake news, misinformation, and filter bubbles

LLMs and AI-generated content in news

User profiling and privacy

Fairness/bias in recommender systems

Algorithmic advances in news analytics

Machine learning for news

Transparency and explainability of news personalization

Legal aspects of news personalization

Trustworthiness in the news ecosystems