The Eleventh International Workshop on News Recommendation and Analytics (INRA\’23)

Abstract

Artificial Intelligence is transforming the news eco-system at a rapid pace. Large Language Models have emerged and facilitate producing content in larger quantities and with less skill or technical oversight. At the same time, media organizations struggle to maintain public trust as misinformation and disinformation continue to spread. The 11th International Workshop on News Recommendation and Analytics (INRA) serves as a venue for exchanging ideas, discussing recent developments, and important issues concerning news. We welcome contributions as scientific articles, demonstrations, and innovative ideas or citicism. Our goal is to bring together both academia and practitioners to address vital challenges facing the media world. The workshop gives attendees the chance to learn about ongoing research, discuss technical as well as ethical aspects of personalization, and contemplate about how technology, in particular Artificial Intelligence, will affect the way humans engage with news. Topics of interest include Large Language Models, advances in news personalization, mis- and disinformation, and user experience.

@inproceedings{10.1145/3604915.3608760,
author = {Kille, Benjamin and Lommatzsch, Andreas and \"{O}zg\"{o}bek, \"{O}zlem and Liu, Peng and Eide, Simen and Zhang, Lemei},
title = {The Eleventh International Workshop on News Recommendation and Analytics (INRA'23)},
year = {2023},
isbn = {9798400702419},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3604915.3608760},
doi = {10.1145/3604915.3608760},
booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},
pages = {1263–1266},
numpages = {4},
keywords = {analytics, recommender systems, news, personalization},
location = {Singapore, Singapore},
series = {RecSys '23}
}

  
Autoren:
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang
Kategorie:
Tagungsbeitrag
Jahr:
2023
Ort:
RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems, September 2023, Pages 1263-1266
Link: