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波斯语推特上的意见操控。

Opinion manipulation on Farsi Twitter.

机构信息

Department of Political Science, Duke University, Durham, NC, 27708, USA.

Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, 60208, USA.

出版信息

Sci Rep. 2023 Jan 6;13(1):333. doi: 10.1038/s41598-022-26921-5.

DOI:10.1038/s41598-022-26921-5
PMID:36609591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9823014/
Abstract

For Iranians and the Iranian diaspora, the Farsi Twittersphere provides an important alternative to state media and an outlet for political discourse. But this understudied online space has become an opinion manipulation battleground, with diverse actors using inauthentic accounts to advance their goals and shape online narratives. Examining trending discussions crossing social cleavages in Iran, we explore how the dynamics of opinion manipulation differ across diverse issue areas. Our analysis suggests that opinion manipulation by inauthentic accounts is more prevalent in divisive political discussions than non-divisive or apolitical discussions. We show how Twitter's network structures help to reinforce the content propagated by clusters of inauthentic accounts in divisive political discussions. Analyzing both the content and structure of online discussions in the Iranian Twittersphere, this work contributes to a growing body of literature exploring the dynamics of online opinion manipulation, while improving our understanding of how information is controlled in the digital age.

摘要

对于伊朗人和伊朗侨民来说,波斯语推特空间为他们提供了一个重要的选择,使他们可以避开官方媒体,并为政治话语提供了一个出口。但这个研究不足的在线空间已经成为一个舆论操纵的战场,各种行为者利用虚假账户来推进自己的目标并塑造在线叙事。通过研究跨越伊朗社会分裂的热门讨论,我们探讨了不同问题领域的舆论操纵动态有何不同。我们的分析表明,在有分歧的政治讨论中,虚假账户的舆论操纵比非分歧或非政治讨论更为普遍。我们展示了推特的网络结构如何帮助加强虚假账户集群在有分歧的政治讨论中传播的内容。通过分析伊朗推特空间中既有内容又有结构的在线讨论,这项工作有助于丰富探索在线舆论操纵动态的文献,同时提高我们对数字时代信息如何被控制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/b461fbb7d40e/41598_2022_26921_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/53f7b99edac7/41598_2022_26921_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/b16bc68a0156/41598_2022_26921_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/83540c808d24/41598_2022_26921_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/b461fbb7d40e/41598_2022_26921_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/53f7b99edac7/41598_2022_26921_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/b16bc68a0156/41598_2022_26921_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/83540c808d24/41598_2022_26921_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9fb/9823014/b461fbb7d40e/41598_2022_26921_Fig12_HTML.jpg

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A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts.LDA、NMF、Top2Vec和BERTopic用于揭秘推特帖子的主题建模比较
Front Sociol. 2022 May 6;7:886498. doi: 10.3389/fsoc.2022.886498. eCollection 2022.
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Element-centric clustering comparison unifies overlaps and hierarchy.基于元素的聚类比较统一了重叠和层次结构。
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The spread of low-credibility content by social bots.社交机器人传播低可信度内容。
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Finding multiple core-periphery pairs in networks.在网络中发现多个核心-边缘对。
Phys Rev E. 2017 Nov;96(5-1):052313. doi: 10.1103/PhysRevE.96.052313. Epub 2017 Nov 22.
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Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe's Hidden Nationalist Agenda.日本 2014 年大选:政治机器人、右翼网络激进主义与首相安倍晋三的隐性民族主义议程。
Big Data. 2017 Dec;5(4):294-309. doi: 10.1089/big.2017.0049. Epub 2017 Nov 28.
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The Critical Periphery in the Growth of Social Protests.社会抗议活动发展中的关键边缘地带
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