English(EN) Automated Identification of Competing Narratives in Political Discourse on Social Media

新框架识别社交媒体上的竞争性政治叙事

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 04:00

研究人员开发了一个无监督框架，用于识别和分析社交媒体上政治讨论中的竞争性叙事，特别关注德国政治家的推文。该系统利用一个多阶段管道，结合了主题建模、事件检测和事件链接等自然语言处理技术，以揭示围绕政治话题的不同观点和冲突。关于两个两极分化问题的案例研究证明了该方法在揭示不同观点和促进对数字公共领域中叙事传播的理解方面的有效性。 AI

影响这项研究为理解政治话语动态提供了工具，可能有助于平台和政策制定者监控在线叙事。

排序理由该集群包含一篇学术论文，详细介绍了一种分析社交媒体话语的新方法。 [lever_c_demoted from research: ic=1 ai=0.7]

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本文如何被排名

Signal score: 9 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇学术论文，详细介绍了一种分析社交媒体话语的新方法。 [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]

arXiv cs.CL TIER_1 English(EN) · Sergej Wildemann, Erick Elejalde · 2026-09-11 04:00

社交媒体政治话语中竞争性叙事的自动化识别

arXiv:2609.11202v1 Announce Type: new Abstract: Social media platforms have become central to shaping political discourse, serving as arenas where narratives form and evolve, influencing public opinion. Identifying and analyzing these narratives, particularly when they compete ac…

本文如何被排名

报道来源 [1]

社交媒体政治话语中竞争性叙事的自动化识别

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