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Updated: Sep 10, 2025
13:57
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
12.7K
Ranking by engagement and non-engagement signals: Learnings from industry
Tom Cunningham1, Sana Pandey2, Leif Sigerson3
1OpenAI Inc, San Francisco, California, USA.
Annals of the New York Academy of Sciences
|August 21, 2025
Summary
Platforms can improve user retention and societal benefit by using non-engagement signals alongside engagement metrics. This research proposes integrating user surveys and quality metrics for better online content ranking.
Area of Science:
- Digital Media
- Human-Computer Interaction
- Societal Impact
Background:
- Online platforms often prioritize user engagement for content ranking.
- This focus may overlook other valuable metrics for platform and societal well-being.
- Non-engagement signals offer potential for improved platform outcomes.
Purpose of the Study:
- To explore the potential of non-engagement signals in online media platforms.
- To develop consensus-based propositions on integrating non-engagement signals.
- To examine the relationship between engagement, non-engagement signals, and user retention.
Main Methods:
- Convened a workshop with industry and academic experts.
- Developed propositions through expert consensus.
- Supported propositions with publicly available evidence and quantitative data.
Main Results:
- Established propositions on the role and impact of non-engagement signals.
- Demonstrated potential links between non-engagement signals and user retention.
- Provided evidence supporting the integration of diverse ranking factors.
Conclusions:
- Incorporating non-engagement signals can enhance platform value and societal benefit.
- Expert consensus supports a broader approach to content ranking beyond engagement.
- Sharing these insights advances knowledge in online platform design and evaluation.
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