It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics

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 multi-stakeholder 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.

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Publication Details

Published
2024-10-08
DOI
https://doi.org/10.1145/3640457.3688183
Citations
4
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
3.12
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article

It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics

Annelien Smets, Hanne Vandenbroucke
4 citations
Recommender Systems and Techniques
3.12
article

It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics

Annelien Smets, Hanne Vandenbroucke
article en
4 citations

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 multi-stakeholder 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.

Vrije Universiteit Brussel (BE)
Openalex Percentile: Top 7%
Recommender Systems and Techniques
3.12
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