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English(EN) Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media

定向社会关怀:在线媒体中浮现目标性倡导、反对、援助、伤害和受害情况

研究人员开发了一种名为定向社会关怀(DSR)的新方法来分析在线文本中的情感。与提供单一积极、中性或消极评分的传统情感分析工具不同,DSR可以识别单个消息中的多种情感并精确定位其目标。该方法利用一对基于Transformer的模型来检测情感目标,并在三个轴上对其进行评分,从而提供对在线通信更细致的理解。 AI

影响 提供对在线情感更细粒度的分析,可能有助于更好地理解影响力操作和在线话语。

排序理由 这是一篇展示情感分析新方法的学术论文。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

定向社会关怀:在线媒体中浮现目标性倡导、反对、援助、伤害和受害情况

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Research
这是一篇展示情感分析新方法的学术论文。
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Topics
paper, other
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159 days old
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Scott Friedman, Ruta Wheelock, Sonja Schmer-Galunder, Drisana Iverson, Jake Vasilakes, Joan Zheng, Jeffrey Rye, Vasanth Sarathy, Christopher Miller ·

    定向社会关注:在线媒体中浮现的定向倡导、反对、援助、伤害和受害现象

    arXiv:2605.00776v1 Announce Type: new Abstract: The language in online platforms, influence operations, and political rhetoric frequently directs a mix of pro-social sentiment (e.g., advocacy, helpfulness, compassion) and anti-social sentiment (e.g., threats, opposition, blame) a…

  2. arXiv cs.CL TIER_1 English(EN) · Christopher Miller ·

    定向社会关注:在线媒体中浮现的定向倡导、反对、援助、伤害和受害现象

    The language in online platforms, influence operations, and political rhetoric frequently directs a mix of pro-social sentiment (e.g., advocacy, helpfulness, compassion) and anti-social sentiment (e.g., threats, opposition, blame) at different topics, all in the same message. Whi…