Author: Andreas Lommatzsch
Recommender systems have become crucial in managing the overwhelming volume of news in today’s digital ecosystem by providing personalized, context-aware suggestions. The introduction of Large Language Models (LLMs) has significantly transformed the news industry by automating the generation of news content. The field of news recommendation is faced with numerous challenges, including maintaining trustworthiness, fighting misinformation, preventing echo chambers, as well as addressing the fleeting nature of news topics. Furthermore, the generated content must carefully balance privacy concerns, uncomplete user preference, and the demand for fairness, bias reduction, diversity, and ethical considerations. Thus, the field of news recommendation is an interesting field for ongoing research.
The 12th International Workshop on News Recommendation and Analytics (INRA 2024) provides a platform to foster the research in the domain of news recommendations. The workshop aims to bring together researchers and practitioners from various disciplines to discuss recent challenges and explore innovative solutions. The topics of interest include
- News analytics and recommendation
- 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
- Legal aspects and ethics
- Trustworthiness in the news ecosystems
The INRA 2024 workshop will be held in conjunction with RecSys 2024 in Bari, Italy. More details can be found on the Workshop webpage.
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