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English(EN) What Patients Say They Can't Access: Mining Cancer Screening Barriers from Online Communities

研究从Reddit挖掘美国患者报告的癌症筛查障碍

研究人员分析了来自六个癌症相关Reddit社区的超过56,000个帖子,以识别美国患者报告的癌症筛查障碍。该研究采用了一个结合关键词过滤、障碍分类、开放编码和编码本综合的流程,从576个位于美国的帖子中提取和分类这些障碍。定性分析突出了反复出现的结构性、信息性和社会心理性障碍,这些障碍因癌症类型和社区背景而异,旨在为有针对性的干预措施和卫生系统政策提供信息。 AI

排序理由 该集群是关于一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

研究从Reddit挖掘美国患者报告的癌症筛查障碍

本文如何被排名

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群是关于一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Ruimin Sun, Aokun Chen, Arjun Arunasalam ·

    患者称无法获得什么:从在线社区挖掘癌症筛查障碍

    arXiv:2611.07113v1 Announce Type: new Abstract: Cancer screening disparities persist across the U.S., yet the patient-reported barriers driving low uptake remain poorly characterized at scale. While clinical surveys capture structured responses, they miss the organic, unsolicited…