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 three themes: 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 Personalization

Context-aware news recommender systems

News recommendation in social media

Multi-modal news recommendation

User behavior analysis and user interest modeling in the news domain

User modeling and user profiling

Applications of data mining for personalized search and navigation

Personalized news user interface and visualization

Diversity and multiperspectivity in news personalization and recommendation

News Analytics

News semantics and ontologies

Adaptive and personalized news summarization, categorization, and opinion mining

Social Graph and heterogeneous network analysis

User segmentation and community discovery

Big data technologies for news streams

News framing research

Automated news generation

News political leaning and tone

News trends and evolution

Large Language Models

Automated News Generation

LLMs for News Analytics

LLMs and Fake News/Misinformation

LLMs for News Personalization