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English(EN) Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion

研究论文模拟数字影响者对公众舆论的影响

一篇新研究论文提出了一个基于Friedkin-Johnsen (FJ)模型的框架,用于识别社交媒体上的有影响力用户并分析他们对社区舆论动态的影响。该研究使用美国总统大选的数据集进行了验证,结果表明具有高影响力得分的用户可以显著改变整个社区的舆论,并将其影响力延伸到直接邻居之外。这项研究强调了数字影响者在塑造公众认知方面的力量。 AI

影响 这项研究提供了一个理解数字影响者如何塑造公众舆论的框架,这对于分析社交媒体趋势和潜在操纵具有现实意义。

排序理由 该集群包含一篇学术论文,详细介绍了分析舆论动态的新框架。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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研究论文模拟数字影响者对公众舆论的影响

本文如何被排名

Signal score
0 / 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,详细介绍了分析舆论动态的新框架。[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, opinion
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
22 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Omran Berjawi, Rida Khatoun, Giuseppe Fenza ·

    数字说服:理解网络意见领袖对公众舆论的影响

    arXiv:2609.16062v1 Announce Type: cross Abstract: The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political polarization, public health, and marketing strategies. In this work, we study th…