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English(EN) A Counterfactual Graph Approach to Oppositional Narrative Analysis

新的图方法可准确识别阴谋论叙事

研究人员开发了一个新颖的框架来分析对立叙事,该框架区分了批判性言论和协调一致的阴谋论。该方法利用 BERT 编码器提取实体交互图,然后使用异构图 Transformer 进行分类。该系统在 PAN 对立叙事基准测试上取得了最先进的性能,参数数量明显少于以前的模型,同时还通过反事实推理提供可解释性,以识别驱动话语的关键实体。 AI

影响 这项研究提供了一种更准确、更具可解释性的方法来检测协调一致的虚假信息活动,有可能提高在线信息的完整性。

排序理由 这是一篇详细介绍新方法和基准性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的图方法可准确识别阴谋论叙事

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这是一篇详细介绍新方法和基准性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Diego Revilla, Martin Fernandez-de-Retana, Lingfeng Chen, Aritz Bilbao-Jayo, Miguel Fernandez-de-Retana ·

    一种反事实图方法用于对立叙事分析

    arXiv:2603.06135v3 Announce Type: replace-cross Abstract: Distinguishing legitimate critical speech from coordinated conspiracy narratives is a pressing challenge for the integrity of the online information ecosystem, yet prevailing approaches rely on labeled entity roles and rig…