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关注者并不能决定新闻媒体在社交媒体上的传播力。

Followers do not dictate the virality of news outlets on social media.

作者信息

Sangiorgio Emanuele, Cinelli Matteo, Cerqueti Roy, Quattrociocchi Walter

机构信息

Department of Social Sciences and Economics, Sapienza University of Rome, Rome 00185, Italy.

Department of Computer Science, Sapienza University of Rome, Rome 00161, Italy.

出版信息

PNAS Nexus. 2024 Jun 28;3(7):pgae257. doi: 10.1093/pnasnexus/pgae257. eCollection 2024 Jul.

Abstract

Initially conceived for entertainment, social media platforms have profoundly transformed the dissemination of information and consequently reshaped the dynamics of agenda-setting. In this scenario, understanding the factors that capture audience attention and drive viral content is crucial. Employing Gibrat's Law, which posits that an entity's growth rate is unrelated to its size, we examine the engagement growth dynamics of news outlets on social media. Our analysis includes the Facebook historical data of over a thousand news outlets, encompassing approximately 57 million posts in four European languages from 2008 to the end of 2022. We discover universal growth dynamics according to which news virality is independent of the traditional size of the outlet. Moreover, our analysis reveals a significant long-term impact of news source reliability on engagement growth, with engagement induced by unreliable sources decreasing over time. We conclude the article by presenting a statistical model replicating the observed growth dynamics.

摘要

社交媒体平台最初是为娱乐而设计的,但它已经深刻地改变了信息传播方式,进而重塑了议程设置的动态机制。在这种情况下,了解吸引受众注意力并推动内容传播的因素至关重要。我们运用吉布拉特法则(该法则认为一个实体的增长率与其规模无关),研究了新闻媒体在社交媒体上的参与度增长动态。我们的分析涵盖了一千多家新闻媒体在脸书上的历史数据,包括2008年至2022年底发布的约5700万条四种欧洲语言的帖子。我们发现了普遍的增长动态,即新闻的传播性与媒体的传统规模无关。此外,我们的分析还揭示了新闻来源可靠性对参与度增长的重大长期影响,不可靠来源引发的参与度会随着时间推移而下降。我们通过提出一个复制观察到的增长动态的统计模型来结束本文。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b086/11235336/329db87c6657/pgae257f1.jpg

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