The 11th edition of the International Workshop on News Recommendation and Analytics brings together researchers, practitioners, and interested parties to discuss recent trends in the intersection of news and personalization. This year, we want to investigate the effect of Large Language Models on the news domain.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers up to 16 Pages with 2 additional pages for references using the ACM Single-column format.
• Short papers up to 8 Pages with 2 additional pages for references using the ACM Single-column format
• Demos up to 8 Pages with 2 additional pages for references using the ACM Single-column format

List of Topics (all within the news domain)

• Automated News Generation
• Large Language Models' implications for the News Domain
• Fake News/Misinformation
• News Personalization
• Context-awareness
• Multi-modality
• User behavior
• Machine Learning and Data Mining
• User Interfaces
• Ethics

Venue

Suntec Convention Center, Singapore (in conjunction with ACM RecSys'23)

Contact

Benjamin Kille <benjamin.u.kille@ntnu.no>