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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

LAK 2024   Learning Analytics and Knowledge
MLAMDA 2023   2023 Asia Conference on Machine Learning, Algorithms, Modeling and Data Analysis (MLAMDA 2023)
DDP 2023   Third International Conference on Digital Data Processing
BESC 2023   10th International Conference on Behavioural and Social Computing
UMAP 2023 LBRD 2023   UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization: Call for Late-Breaking Results and Demos
UMAP 2023   User Modeling, Adaptation, and Personalization
UMAP 2023 TW 2023   UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization: Call for Workshop and Tutorial Proposals
UMAP 2023   User Modeling, Adaptation and Personalization
IUI 2024   ACM Conference on Intelligent User Interfaces
DiTox 2023   1st International Workshop on Disinformation and Toxic Content Analysis