Lilian Weng, Filippo Menczer, and Yong-Yeol Ahn
"Ranking Comments on Social News Sites: A Novel Approach Using Comment Recency and Thread Structure" (J. Lee & S. Kim, Expert Systems with Applications , 2019, 128, 56-67) /recentlycommented
Content that receives a comment recently is significantly more likely to be seen and receive further engagement, creating a feedback loop. This explains why “recently commented” sorts often dominate user behavior. Lilian Weng, Filippo Menczer, and Yong-Yeol Ahn "Ranking
Free on Nature’s website (open access): https://www.nature.com/articles/srep02525 If you meant a paper implementing a /recentlycommented algorithm (e.g., in a forum or collaborative system): Search for: "Recency-based ranking in online discussion forums" But a solid peer-reviewed example is: It introduces the concept of temporal recency bias
Scientific Reports (Nature), 2013
This paper examines how recent activity (including comments) influences the visibility and popularity of content. While not explicitly titled with "/recentlycommented", it models how time since last interaction affects attention allocation — directly analogous to sorting by recently commented posts. It introduces the concept of temporal recency bias in user attention.
It sounds like you're asking for a good academic paper (or a recommendation for one) related to the concept — likely in the context of social news aggregators (like Reddit, Hacker News, or similar platforms) or collaborative filtering systems that use "recently commented" as a ranking or recommendation signal.