Upranking Civility
A feed-ranking algorithm that upranks posts and comments demonstrating markers of civility (e.g., reasoning, compassion, respect, curiosity).

Goal: Reduce partisan animosity Evidence rating (PDN): Emergent Civic signal: Understand — Promote thoughtful conversation When to use: Proactive
What it is
A feed-ranking algorithm that upranks posts and comments demonstrating markers of civility (e.g., reasoning, compassion, respect, curiosity).
Intended impact
By increasing the chances of users seeing more respectful, civil, content, the goal of the intervention is to lower hostility among platform users and, in this specific case, affective polarization between opposing political groups.
Evidence that it works
Stray et al. (2026) tested this approach as one arm of a large independent field experiment across Facebook, Reddit, and X, using a browser extension and Google Jigsaw’s Perspective API to score how civil each post was and then upranking posts/comments with higher civility scores. The study was carried over six months during the 2024 U.S. election cycle, and the results indicated that upranking civil content achieved a small (~0.02 standard deviations), but non-significant, reduction in partisan animosity (Note: we report effect sizes using the metrics in the authors’ paper.) It also had no significant effect on user experience, social trust, intergroup empathy, or political knowledge. Because this is the only field study testing this intervention, and it found no significant effect, the evidence is limited to a single null result.
Why it matters
Civil, reasoned discussion is widely valued as a building block of healthy online conversation, and upranking content with higher scores on civility markers is a relatively low-cost intervention for platforms. The current evidence, however, suggests that elevating civil content on its own may not be enough to meaningfully reduce levels of partisan animosity, at least not without also downranking hostile content (see entry on Downranking Toxic Content).
Special considerations
Examples
This intervention entry currently lacks photographic evidence (screencaps, &c.)
Citations
- *The prosocial ranking challenge: reducing polarization on social media without sacrificing engagement.* — Stray, Jonathan, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski (ArXiV, March 20, 2026)
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From the Prosocial Design Network's Digital Intervention Library (https://www.prosocialdesign.org/library/upranking-civility), licensed CC BY-SA 4.0. Reformatted for the RT Commons; text otherwise as published. Library citation: Prosocial Design Network (2024), Digital Intervention Library, https://doi.org/10.17605/OSF.IO/Q4RMB. Anything built from this pattern should credit the Prosocial Design Network and the researchers cited above.
Details
- goal: Reduce partisan animosity
- citations: [object Object]
- image url: https://cdn.prod.website-files.com/647f696dc653a97c26f42a0b/6a58d5cd4986017c47eebcb6_Upranking%20Civility.png
- pdn rating: Emergent
- when to use: Proactive
- civic signal: Understand
- pdn library doi: 10.17605/OSF.IO/Q4RMB
- civic signal goal: Promote thoughtful conversation
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Contributed by Prosocial Design Network · prosocialdesign.org · CC BY-SA 4.0
Original source: https://www.prosocialdesign.org/library/upranking-civility
See something to fix or add? Suggest an edit on GitHub — the commons lives in git too, and its history is the changelog.
prosocial-designdesign patternpdn-rating:emergentwhen:proactivecivic-signal:understandpromote thoughtful conversation