About the workshop

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.

Call for papers

This workshop invites contributions in the realm of news recommendation and analytics. In addition to technical papers, we welcome interdisciplinary submissions.
In this year’s edition, we mainly focus on three themes: news personalization, news analytics, and the psychological, societal, and ethical aspects of news personalization systems. Topics of interest for this workshop can be found here.


Submission Deadline 25 May 2022 7 June 2022
Author Notification 13 June 2022
Camera-ready Deadline 30 June 2022
Workshop Date 15 July 2022

Submission Instructions

All submissions should be made through the EasyChair Conference System and must be written in English and formatted according to the latest ACM SIG proceedings template with a single column. All submissions will be peer reviewed (single-blind) by the program committee based on the quality of the work and its fit to the workshop themes. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper.
The details of submission types can be found here .

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