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INRA 2018 : CIKM 2018 Workshop: 6th International Workshop on News Recommendation and Analytics

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Link: http://research.idi.ntnu.no/inra
 
When Oct 22, 2018 - Oct 26, 2018
Where Turin, Italy
Submission Deadline Aug 1, 2018
Notification Due Aug 17, 2018
Final Version Due Aug 27, 2018
Categories    recommender systems   news analytics   fake news detection   evaluation platforms datasets
 

Call For Papers

6th International Workshop on News Recommendation and Analytics (INRA 2018)
in conjunction with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)

23-26 October 2018, Turin, ITALY

http://research.idi.ntnu.no/inra

The news domain is characterized by a constant flow of unstructured, fragmentary, and unreliable news stories from numerous sources and different perspectives. Quickly finding relevant information challenges readers, who rely on tools to filter the stream of news. The spread of increasing concerns about disinformation coupled with privacy concerns necessitate improving these tools. This workshop addresses primarily news recommender systems and news analytics. As part of news recommendation and analytics, Big Data architectures and large-scale statistical and linguistic techniques are used to extract aggregated knowledge from large news streams and prepare for personalized access to news.

In this workshop we aim to bring researchers, media companies, and practitioners together, in order to exchange ideas about how to create and maintain a trusted and sustainable environment for digital news production and consumption.

Topics of interests for this workshop include but are not limited to:

News Recommendation
- News context modeling
- Deep learning
- Big data technologies for news streams
- Practical applications
- News diversity and filter bubbles

News Analytics
- News semantics and ontologies
- News from social media
- Large-scale news mining and analytics

Fake News and Disinformation
- Detection and analysis of disinformation
- Spread mechanisms of news disinformation

User Experience Issues
- Privacy and security in news recommender systems
- User profiling

Evaluation Platforms, Methods and Datasets
- Experiences with evaluation platforms
- News datasets
- Evaluation methods

This year, we also provide the opportunity for the researchers who would like to test their ideas on real world news settings by using our datasets and evaluation platforms. For more information please visit: https://www.ntnu.no/wiki/display/inra/Data+Sets+and+Evaluation+Platforms


-- Submission Details --
Submissions should be formatted according to the ACM 2-column format. We accept long papers (8 pages), short papers (4 pages) and demo papers (2-4 pages).
Accepted papers will be published by CIKM as a joint workshop proceedings in CEUR workshop series.


-- Keynote Speakers --
Frank Hopfgartner, University of Sheffield, UK
Anja Benner-Tischler, University of Kassel, Germany
A representative of the Plista GmbH, Germany


-- Workshop Chairs --
Özlem Özgöbek, Norwegian University of Science and Technology (NTNU), Norway
Benjamin Kille, Berlin Institute of Technology, Berlin, Germany
Jon Atle Gulla, Norwegian University of Science and Technology (NTNU), Norway
Martha Larson, Radboud University Nijmegen, The Netherlands

Related Resources

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INRA 2021   9th International Workshop on News Recommendation and Analytics
Special issue on Recommender systems 2021   Scopus/Springer Special issue: Data Science for Next-Generation Recommender Systems with International Journal of Data Science and Analytics
JDSA SI 2021   Springer Journal Special Issue on Data Science for Next-Generation Recommender Systems
XPERT4CQA 2021   First International Workshop on eXPErt RecommendaTion for Community Question Answering (XPERT4CQA)
BDCC 2021   Big Data and Cognitive Computing, Special Issue on Recommendation, Information Retrieval, and Exploratory Search
KDAH-CIKM 2021   Fourth WORKSHOP ON KNOWLEDGE-DRIVEN ANALYTICS AND SYSTEMS
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
Fact-Checking, Fake News in OSN 2021   2nd International Symposium on Fact-Checking, Fake News and Malware Detection in Online Social Networks (OSNs)