It’s (Not) All About That CTR: a Multi-Stakeholder Perspective on News Recommender Metrics

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)
238 Downloads (Pure)

Abstract

Recommender systems are increasingly used by news media organizations. Existing literature examines various aspects of news recommender systems (NRS) from a computational, user-centric, or normative perspective. Yet research advocates studying the complexities of real-world applications around NRS. Recently, a multistakeholder approach to NRS has been adopted, allowing to understand different stakeholder perspectives on NRS development and evaluation within the news organization. However, little research has been done on the different key performance indicators (KPIs) and metrics considered valuable by different stakeholders. Based on 11 interviews with professionals from two commercial news publishers, this paper demonstrates that stakeholders prioritize distinct KPIs and metrics related to the reach-engagement-conversion-retention funnel. The evaluation of NRS performance is often limited to short-term metrics like CTR, overlooking the multiplicity of stakeholders involved. Our findings reveal how different purposes, KPIs, and metrics are valued from the journalistic, commercial, and tech logic. In doing so, this paper contributes to the multi-stakeholder approach to NRS, advancing our understanding of the real-world complexity of NRS development and evaluation.
Original languageEnglish
Title of host publicationProceedings of the 18th ACM Conference on Recommender Systems (RecSys ’24)
Place of PublicationBari, Italy
PublisherACM
ChapterSession: Short papers
Pages999-1003
Number of pages5
Volume18
Edition2024
ISBN (Electronic)9798400705052
DOIs
Publication statusPublished - 8 Oct 2024
Event18th ACM Conference on Recommender Systems (RecSys 2024) - Bari, Italy
Duration: 14 Oct 202418 Oct 2024

Publication series

NameRecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems

Conference

Conference18th ACM Conference on Recommender Systems (RecSys 2024)
Country/TerritoryItaly
CityBari
Period14/10/2418/10/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

  • Impact of Recommenders
  • Multi-stakeholder
  • News Recommender Systems
  • Evaluation Metrics

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