分布与互动模式：社交机器人操纵Twitter上的中国议题研究

被引：96

作者：

师文 ^{[1
]}

陈昌凤 ^{[2
]}

机构：

[1] 清华大学理学院地球系统科学系

[2] 清华大学新闻与传播学院

来源：

国际新闻界 | 2020年 / 42卷 / 05期

关键词：

社交机器人; 计算传播; 智能传播; 对外传播;

D O I：

10.13495/j.cnki.cjjc.2020.05.005

中图分类号：

G206 [传播理论];

学科分类号：

050302 ;

摘要：

本文运用数据挖掘与分析方法,以Twitter上中国议题的分布与互动为分析对象,解析社交机器人的舆论操纵行为,探究其行为模式及其与人类的交互关系。在抓取358,656条推文、测量用户的机器人评分后发现,与中国相关的推文中有超过1/5疑似由机器人用户发布。不同议题的自动化操纵程度存在差异。在用户互动网络中,机器人用户转发、提及,但较少引用或回复。机器人可以成功地引发人类用户主动与之互动,但人类更倾向于与人类交互。研究认为,在传播内容上,社交机器人的存在可增加人类用户对于特定信息的接触;在用户交互层面,社交机器人可以成功渗入社交网络,改变既有的信息交互结构。

引用

页码：61 / 80

页数：20

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