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NPA 2022 : Special Issue on News Personalization and Analytics, User Modeling and User­ Adapted Interaction: The Journal of Personalization Research (UMUAI)


When N/A
Where N/A
Abstract Registration Due Mar 15, 2022
Submission Deadline Jun 15, 2022
Notification Due Aug 30, 2022
Final Version Due Jan 15, 2023

Call For Papers

Scope of the Special Issue

The rapid development of Internet-based technologies has shifted news consumption models from reading physical newspapers to visiting online news websites, social media platforms, and news aggregators. Personalized news delivery services and interfaces alleviate information overload and adapt news content for individuals building on users' explicit and latent interests. However, there are still many research challenges in this area which require a deeper analysis of both the user, the content, and their relationships, such as the context-awareness, the (sequential) user behavior modeling, the explainability, diversity, and fairness of news recommender systems as well as the big data management for online news services. The highly dynamic and diverse nature of social network platforms adds to these challenges further complexity. Moreover, fake news, disinformation, echo chambers, or biased news framing may hurt the user experience and lead to a poor news ecosystem. Furthermore, news personalization can provide voters with skewed signals featuring own-party bias and affect political actions, resulting in unhealthy outcomes such as increased polarisation. These issues need attention both from a technical and a social perspective to understand and develop solutions for the societal challenges of news personalization. Lastly, considering the complex relationships among various news entities and the special properties of news articles, such as short shelf lives, continuous, large-volume and high-velocity, effective news analysis remains an important and challenging research problem.

This special issue of User Modelling and User-Adapted Interaction aims at presenting recent progress and developments of efficient user modeling and advanced machine learning techniques in various aspects of news personalization and analytics. We invite researchers and practitioners to contribute high-quality articles focusing on the following topics.

The topics of interest for this special issue 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

Psychological, Societal, and Ethical Aspects of News Personalization Systems

Privacy and security issues
Clickbait, fake news, and misinformation detection
Diversity and fairness of news search/recommendation
Bias in online news
Transparency and explainability
Emotion and cognition in news reception

Related Resources

DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
INRA 2024   International Workshop on News Recommendation and Analytics
DDP 2024   Digital Data Processing
CRUM 2024   The 2nd ACM Workshop in Context Representation in User Modelling - CfP Extended to 03/05
UMAP 2024   User Modeling, Adaptation, and Personalization
NLE Special Issue 2024   Natural Language Engineering- Special issue on NLP Approaches for Computational Analysis of Social Media Texts for Online Well-being and Social Order
GermEval2024 GerMS-Detect 2024   GermEval2024 Shared Task GerMS-Detect -- Sexism Detection and Annotator Disagreement Prediction in German Online News Fora @Konvens 2024
IUI 2024   ACM Conference on Intelligent User Interfaces
LAK 2025   15th International Conference on Learning Analytics and Knowledge
HiPC 2024   31st IEEE International Conference on High Performance Computing, Data, and Analytics