posted by user: INRA2015 || 877 views || tracked by 1 users: [display]

INRA 2022 : 10th International Workshop on News Recommendation and Analytics

FacebookTwitterLinkedInGoogle

Link: https://research.idi.ntnu.no/NewsTech/INRA/
 
When Jul 11, 2022 - Jul 15, 2022
Where Madrid
Submission Deadline Jun 7, 2022
Notification Due Jun 13, 2022
Final Version Due Jun 30, 2022
Categories    NEWS   recommender system
 

Call For Papers

INRA 2022 in conjunction with SIGIR 2022.

Daily news consumption has crucial importance where it affects personal beliefs, decision making, political voting and world views in general. The news ecosystem has experienced drastic changes over the last decade. News consumption has shifted online and increasingly towards social media. On digital platforms such as news portals and social media, where personalization has more importance, the news is filtered and ranked even without users’ awareness. Therefore, we encounter challenges such as lack of transparency, diversity, and other ethical considerations while trying to generate the most suitable personalized recommendations for the users.

The 10th International Workshop on News Recommendation and Analytics (INRA 2022 in conjunction with ACM SIGIR 2022) invites scholars from diverse disciplines to discuss topics related to news recommendation, including but not limited to technical, societal, and ethical aspects.

Topics of interest for this workshop 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
News trends and evolution

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
Submission Types

Scientific Papers (Long and short papers): We will accept scientific contributions in the form of short and long papers. Long papers must not exceed 12 pages, and short papers must not exceed six pages, excluding references. The papers should be formatted according to the ACM template with a single column. Please, note that the reviewing process is single-blind.

Demo Papers: We accept papers demonstrating technical advances in news personalization and analytics. Demo papers must not exceed four pages, excluding references.

Related Resources

INRA 2024   International Workshop on News Recommendation and Analytics
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
GermEval2024 GerMS-Detect 2024   GermEval2024 Shared Task GerMS-Detect -- Sexism Detection and Annotator Disagreement Prediction in German Online News Fora @Konvens 2024
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
FAccTRec 2024   7th FAccTRec Workshop on Responsible Recommendation
BigDaCI 2024   9th International Conference on Big Data Analytics, Data Mining and Computational Intelligence
BIAS 2024   International Workshop on Algorithmic Bias in Search and Recommendation
HiPC 2024   31st IEEE International Conference on High Performance Computing, Data, and Analytics
AIPIDAY 2025   AI on Pi Day
LAK 2025   15th International Conference on Learning Analytics and Knowledge