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谣言范围。

The rumour spectrum.

作者信息

Turenne Nicolas

机构信息

Affiliation Université Paris-Est, LISIS, INRA, 77454 Marne-La-Vallée, France.

出版信息

PLoS One. 2018 Jan 19;13(1):e0189080. doi: 10.1371/journal.pone.0189080. eCollection 2018.

Abstract

Rumour is an old social phenomenon used in politics and other public spaces. It has been studied for only hundred years by sociologists and psychologists by qualitative means. Social media platforms open new opportunities to improve quantitative analyses. We scanned all scientific literature to find relevant features. We made a quantitative screening of some specific rumours (in French and in English). Firstly, we identified some sources of information to find them. Secondly, we compiled different reference, rumouring and event datasets. Thirdly, we considered two facets of a rumour: the way it can spread to other users, and the syntagmatic content that may or may not be specific for a rumour. We found 53 features, clustered into six categories, which are able to describe a rumour message. The spread of a rumour is multi-harmonic having different frequencies and spikes, and can survive several years. Combinations of words (n-grams and skip-grams) are not typical of expressivity between rumours and news but study of lexical transition from a time period to the next goes in the sense of transmission pattern as described by Allport theory of transmission. A rumour can be interpreted as a speech act but with transmission patterns.

摘要

谣言是一种在政治和其他公共领域中使用的古老社会现象。社会学家和心理学家仅用定性方法对其进行了百年研究。社交媒体平台为改进定量分析提供了新机遇。我们查阅了所有科学文献以找出相关特征。我们对一些特定谣言(法语和英语)进行了定量筛选。首先,我们确定了一些信息来源以找到它们。其次,我们汇编了不同的参考、谣言和事件数据集。第三,我们考虑了谣言的两个方面:它传播给其他用户的方式,以及可能特定于或不特定于谣言的组合内容。我们发现了53个特征,分为六类,这些特征能够描述一条谣言信息。谣言的传播是多谐波的,具有不同频率和峰值,并且可以持续数年。单词组合(n元语法和跳元语法)在谣言和新闻之间并非典型的表达特征,但对从一个时间段到下一个时间段的词汇转换的研究符合奥尔波特传播理论所描述的传播模式。谣言可以被解释为一种言语行为,但具有传播模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc4/5774683/e036edde2909/pone.0189080.g001.jpg

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