牛津大学学者研究发现推特上存在大量反CN机器人水军

​来源：豆瓣@zyzygy

两位英国牛津大学作者研究了150万新浪微博的评论，和110万发表在推特上和中国或中国政治相关的帖子。研究结论是：

1）很少证据显示微博的评论是用自动化机器。

2）推特上大量的关于中国和中国政府的帖子是用自动化机器人生成的。大部份的帖子内容都是从反对中国政府的角度來写的。针对的对象是海外华人和那些翻墙出来的中国内地人。这些内地人本来希望翻墙出來可以看到多元的信息和网上公共空间，结果他们体验到的是一个由用自动化机器人生成的反中国政f语境支配的网上空间。

However, contrary to expectations and previous news reports, no
evidence was found of pro-Chinese-state automation on Twitter.
Automation on Twitter was associated with anti-Chinese-state
perspectives and published in simplified Mandarin, presumably aimed at
diasporic Chinese and mainland users who ‘jump the wall’ to access
blocked platforms.

文献链接https://www.tandfonline.com/doi/full/10.1080/1369118X.2018.1476576

仅供学习全文pdf下载https://www.jianguoyun.com/p/DUtljmgQ2p6KBxi0j-YB  密码cnhk

两个作者都是牛津的研究学者/教授，都是外国人，其中一位曾经在复旦读过硕士。

Gillian Bolsover
is a research associate at the University of Oxford’s Oxford Internet
Institute. She completed her DPhil at the Internet Institute in 2017 and
holds a dual MSc/MA in Global Media and Communications from the London
School of Economics and Political Science and Fudan University in
Shanghai, China.

Philip Howard
is a Professor of Internet Studies and the Director of Research at the
Oxford Internet Institute. He is the Principal Investigator of the
Computational Propaganda research project that investigates how bots,
algorithms and other forms of automation are used by political actors in
countries around the world.