Can anyone (from China) identify these Messaging services? imsg <--... qg <--... qqmesg. <-- https://www.imqq.com/ wwmsg <--... wxmsg <--... yymsg <--... In China, they have a surveillance program on social networks which looks like a jerry-rigged PRISM clone of the NSA.
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From 3.784.309.399 intercepted messages. 59.378.236 were in English. 19 million were sent from outside Mainland China: South Korea, Taiwan, US, Australia, Canada, Colombia, Venezuela, Belgium, France, UK, Germany, Netherlands, Turkey, Italy, Switzerland, New Zealand & Ireland.pic.twitter.com/7UDRLLIICs
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I am listening to the
@riskybusiness show [https://twitter.com/riskybusiness/status/1121269841040510976 …], and I hear this at 21:50: "We've got politicians in Australia who are using WeChat." Wait!? What? So they can have been one of the 937202 "flagged" conversations recorded in Australia?
pic.twitter.com/hGwH1ScM4K
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512.2 million WeChat accounts (unique wxids) sent 3,784,309,399 messages on 18-03-2019. 1 billion captured WeChat conversations contained keywords which marked for "review". 59.378.236 were written in English. 19 million were sent from
















pic.twitter.com/uWuMEmspSA
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BBC China social media: WeChat and the Surveillance Statehttps://www.bbc.com/news/blogs-china-blog-48552907 …
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In the "phrase matching" process the Chinese data scientist student used these Chinese keywords from this wordlist https://github.com/citizenlab/chat-censorship/blob/master/wechat/709crackdown/all-keywords.csv … So we can safely assume that the keyword trigger list is far from complete. So we decided to do this research all over again from scratch...pic.twitter.com/472Bf22hzF
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A quick status update. The data scientist who created the current keyword list is still MIA. [https://twitter.com/GDI_FDN/status/1130489101273243648 …]. We did not make so much progress. Yet new breadcrumbs are slowing surfacing thanks to termination of third party translation services. https://github.com/cookiemonster/WeChat …pic.twitter.com/wE8N5k56Ec
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Great job. As a MMO game (which has an embedded chat system) developer a few years ago, I got access to a keyword list which is fucking amazing. And later when I joined another project, I found the list had grown more greater, including regular expressions.
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To get a better understanding of which regular expressions are used would be very interesting. For now, we assume they are also doing a simple scoring based on the number of keywords, but the weight per keyword is still an estimation based on the number of repetitions.
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我不相信98%使用微信的人都打开了GPS,是通过什么方式获得GPS信息的?另外2%是使用了无法识别的机型吗?

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It is about 1 billion conversations made on 18 March 2018. These are not all the WeChat users. These are only the conversation which were flagged based on keywords. All these records had GPS locations tagged with it
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