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The 7th international workshop on news recommendation and analytics (INRA 2019)

Published: 10 September 2019 Publication History

Abstract

Publishing news represents a vital function for societal health. News recommender systems, which support readers finding relevant content, face challenges beyond those encountered by other types of recommender systems. They have to deal with a dynamic flow of unstructured, fragmentary, and potentially unreliable news stories. The International Workshop on News Recommendation and Analytics (INRA) focuses on the challenges of news recommender systems and aims to connect researchers, practitioners and journalists. The seventh edition of INRA takes place as a half-day workshop in conjunction with thirteenth ACM Conference on Recommender Systems (RecSys '19) on September 16--20, 2019 in Copenhagen, Denmark. INRA 2019 focuses on the news recommender systems under three main categories: News recommendation, news analytics, and ethical aspects of news recommendation.

References

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Daniel Billsus and Michael J Pazzani. 2007. Adaptive News Access. The Adaptive Web (2007).
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Robin Burke, Michael P O'Mahony, and Neil J Hurley. 2015. Robust Collaborative Recommendation. In Recommender systems handbook. Springer, 961--995.
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Dominic DiFranzo and Marie Joan Kristine Gloria. 2017. Filter bubbles and fake news. ACM Crossroads 23, 3 (2017), 32--35.
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Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, and Xiaomeng Su. 2017. The Adressa dataset for news recommendation. In Proceedings of the International Conference on Web Intelligence. ACM, 1042--1048.
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Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha Larson, Torben Brodt, Jonas Seiler, and Özlem Özgöbek. 2017. CLEF 2017 NewsREEL overview: A stream-based recommender task for evaluation and education. In International Conference of the Cross-Language Evaluation Forum for European Languages. Springer, 239--254.
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Eugenia Mitchelstein and Pablo J Boczkowski. 2009. Between tradition and change: A review of recent research on online news production. Journalism 10, 5 (2009), 562--586.
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Özlem Özgöbek and Jon Atle Gulla. 2017. Towards an Understanding of Fake News. In CEUR Workshop Proceedings.
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Eli Pariser. 2011. The filter bubble: What the Internet is hiding from you. Penguin UK.
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Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, and Yan Liu. 2019. Combating Fake News - A Survey on Identification and Mitigation Techniques. CoRR cs.LG (2019).

Cited By

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  • (2024)12th International Workshop on News Recommendation and Analytics (INRA'24)Proceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3687100(1258-1261)Online publication date: 8-Oct-2024
  • (2023)The Eleventh International Workshop on News Recommendation and Analytics (INRA’23)Proceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608760(1263-1266)Online publication date: 14-Sep-2023
  • (2023)SJORS: A Semantic Recommender System for JournalistsBusiness & Information Systems Engineering10.1007/s12599-023-00843-666:6(691-708)Online publication date: 21-Dec-2023
  • Show More Cited By

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Published In

cover image ACM Other conferences
RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems
September 2019
635 pages
ISBN:9781450362436
DOI:10.1145/3298689
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2019

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Author Tags

  1. data-driven journalism
  2. fake news detection
  3. news
  4. news analytics
  5. news recommendation
  6. topic models
  7. word embeddings

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  • Extended-abstract

Conference

RecSys '19
RecSys '19: Thirteenth ACM Conference on Recommender Systems
September 16 - 20, 2019
Copenhagen, Denmark

Acceptance Rates

RecSys '19 Paper Acceptance Rate 36 of 189 submissions, 19%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

View all
  • (2024)12th International Workshop on News Recommendation and Analytics (INRA'24)Proceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3687100(1258-1261)Online publication date: 8-Oct-2024
  • (2023)The Eleventh International Workshop on News Recommendation and Analytics (INRA’23)Proceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608760(1263-1266)Online publication date: 14-Sep-2023
  • (2023)SJORS: A Semantic Recommender System for JournalistsBusiness & Information Systems Engineering10.1007/s12599-023-00843-666:6(691-708)Online publication date: 21-Dec-2023
  • (2022)The 10th International Workshop on News Recommendation and Analytics (INRA 2022)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531705(3470-3473)Online publication date: 6-Jul-2022
  • (2021)9th International Workshop on News Recommendation and AnalyticsProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3470942(772-774)Online publication date: 13-Sep-2021

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