Abstract

News portals, social media, and news recommender systems have a strong influence on the perception of events. The way with which people engage with news has changed. Today, we encounter personalized access to news. On the one hand, personalization allows us to manage the overwhelming amount of information. On the other hand, personalization can create a set of problems such as filter bubbles, privacy and disinformation related problems. News analytics helps us to develop solutions towards the challenges created by personalization. News analytics helps us to understand the news ecosystem better and develop solutions towards the challenges of news recommender systems. The 9th International Workshop on News Recommendation and Analytics (INRA 2021) provides a forum to discuss recent trends and observations related to news recommendation, personalization, and analytics. The interdisciplinary workshop connects research from machine learning and analytics, algorithmic modelling and prediction, as well as results from ethical and psychological research.

@inproceedings{ozgobek20219th,
  title={9th International Workshop on News Recommendation and Analytics},
  author={{\"O}zg{\"o}bek, {\"O}zlem and Lommatzsch, Andreas and Kille, Benjamin and Liu, Peng and Pu, Zhixin and Gulla, Jon Atle},
  booktitle={Fifteenth ACM Conference on Recommender Systems},
  pages={772--774},
  year={2021}
}