牛津大學學者研究發現推特上存在大量反CN機器人水軍_風聞

​來源：豆瓣@zyzygy

兩位英國牛津大學作者研究了150萬新浪微博的評論，和110萬發表在推特上和中國或中國政治相關的帖子。研究結論是：

1）很少證據顯示微博的評論是用自動化機器。

2）推特上大量的關於中國和中國政府的帖子是用自動化機器人生成的。大部份的帖子內容都是從反對中國政府的角度來寫的。針對的對象是海外華人和那些翻牆出來的中國內地人。這些內地人本來希望翻牆出來可以看到多元的信息和網上公共空間，結果他們體驗到的是一個由用自動化機器人生成的反中國政f語境支配的網上空間。

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.

文獻鏈接https://www.tandfonline.com/doi/full/10.1080/1369118X.2018.1476576

僅供學習全文pdf下載https://www.jianguoyun.com/p/DUtljmgQ2p6KBxi0j-YB  密碼cnhk

兩個作者都是牛津的研究學者/教授，都是外國人，其中一位曾經在復旦讀過碩士。

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.