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。
This research focuses on the automatic manipulation of public opinion towards "China" on Twitter. By analyzing 358,656 tweets and measuring the bot score of users involved, it finds that 21.88% of tweets were posted by social bots. The economic resistance to China is more likely to come from human users, but a significant proportion of the criticism of China’s political system and human rights situation is conducted by social bots. Interaction networks between users show that social bots tend to increase the visibility of information by retweeting tweets and mentioning other users, but rarely cite or reply. Bots can successfully trigger human users to conduct interactions with them, but humans are still more inclined to interact with humans. It argues that social bots can increase humans’ contact with certain information and social bots themselves can be involved in the social networks to change the given information interaction structure.
作者
师文
陈昌凤
SHI Wen;CHEN Changfeng(Department of Environment Science at Tsinghua University;School of Journalism and Communication at Tsinghua University)
出处
《国际新闻界》
CSSCI
北大核心
2020年第5期61-80,共20页
Chinese Journal of Journalism & Communication
基金
国家社科基金重大项目“智能时代的信息价值观引领研究”(项目号:18ZDA307)的阶段性成果。
关键词
社交机器人
计算传播
智能传播
对外传播
Social bots
Computational communication
AI communication
International communication
作者简介
师文,清华大学理学院地球系统科学系博士生。电子邮箱:shiwensmile@163.com;陈昌凤,清华大学新闻与传播学院教授。电子邮箱:fengchen5266@vip.163.com。
