In conjunction with ECML PKKD 2020.
Publishers increasingly automate content curation and personalization to present the most relevant stories to readers. This task is challenging due to the dynamics of the news eco-system and lack of information concerning readers’ preferences and interests. Besides, ethical and legal issues emerge from recent trends such as deliberate misinformation campaigns and ignoring privacy regulations. This workshop invites contributions in the realm of news recommendation and analytics. In addition to technical papers, we welcome interdisciplinary submissions. Topics of interests include but are not limited to:
News Personalization
– Innovative algorithms for news personalization
– Reader Profiling
– News context and trend modelling
– Big data technologies for news streams
– Practical applications
News Analytics
– News semantics and ontologies
– News summarization, classification, and sentiment analysis
– Large-scale news mining and analytics
– News evolution and trends
– News from social media
Ethical Aspects of News Recommendation
– Detection and analysis of fake news and disinformation
– News diversity and filter bubbles
– Privacy and security in news recommender systems
– Spread mechanisms of disinformation