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English(EN) Measuring climate backlash in Twitter and Reddit archives: Lexical definitions, recorded responses and participant turnover

新研究量化了Twitter和Reddit上的气候变化反对声音

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新研究论文发表在arXiv上，探讨了在Twitter和Reddit等社交媒体平台上衡量气候变化反对声音的复杂性。该研究引入了改进的词汇定义，并分析了这些存档中的响应模式和参与者流动。它强调了不同平台和特定语言选择（例如Reddit上可再生能源术语与成本相关语言的对比）如何显著改变对气候讨论和反对声音的解读。 AI

影响 为分析与气候变化相关的在线讨论提供了一个框架，可能为AI驱动的情感分析工具提供信息。

排序理由 该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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

新研究量化了Twitter和Reddit上的气候变化反对声音

本文如何被排名

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wentao Xu ·

    在Twitter和Reddit档案中衡量气候变化抵制：词汇定义、记录的响应和参与者流失

    arXiv:2610.07634v1 Announce Type: new Abstract: Social media archives are often used to study resistance to climate action, but words, response counters and observed participants do not measure the same social process. We examine four supplied Twitter and Reddit archives by proce…

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