INRA 2021 : 9th International Workshop on News Recommendation and Analytics
Call For Papers
INRA 2021 in conjunction with ACM RecSys 2021
Daily news consumption has a crucial importance where it affects personal beliefs, decision making, political voting and world views in general. The news eco-system has experienced drastic changes over the course of 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, 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 9th International Workshop on News Recommendation and Analytics (INRA 2021 in conjunction with ACM RecSys 2021) invites scholars from diverse disciplines to discuss topics related to news recommender systems, including but not limited to technical, societal, and ethical aspects of news personalization and analytics in the form of scientific and demo papers.
We would also like to invite workshop attendees to submit the extended version of their papers to a forthcoming journal special issue (currently under review) on news personalization and analytics. The special issue will publish the outstanding papers coming out of this workshop in addition to external submissions. More information will be available on our web page as we get more details from our special issue proposal
Abstract Deadline: 30 July 2021
Submission Deadline: 06 August 2021
Authors' Notification: 21 August 2021
Camera-ready Deadline: 15 September 2021
Workshop Date: 1 October 2021
Topics of interests for this workshop include but are not limited to:
-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 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
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 6 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 personalisation and analytics. Demo papers must not exceed 6 pages excluding references.
For more information, visit https://www.ntnu.no/wiki/pages/viewpage.action?pageId=215449675
We are looking forward to your contribution!
The INRA organisers (Özlem Özgöbek, Benjamin Kille, Andreas Lommatzsch, Peng Liu, Zhixin Pu, and Jon Atle Gulla)