Paul Mozur 孟建國 Profile picture
Dec 21, 2021 9 tweets 4 min read Read on X
All year we’ve been tracking what Chinese influence campaigns look like on platforms like Twitter and Facebook. A new remarkable document gives us an inside look at how it works: local governments buy global internet manipulation as a subscription service. nytimes.com/interactive/20…
The bidding document from Shanghai police lays out with remarkable clarity what they want. The first order of business is fake accounts. They need a company that that can provide 100’s of accounts on Twitter, Facebook and other platforms. Sometimes they need it quick.
Then they want a special set of accounts that are camouflaged as real people and have their own following. Aware of the bot purges on sites like Twitter, they demand the contractor be able to keep the account up for long periods of time.
This speaks to a new level of sophistication. China’s bot nets fail in part because they are hordes of unfollowed accounts that repost official state media. Now that is changing. The goal is to create credible, well-followed accounts to astroturf. nytimes.com/interactive/20…
They then get into some specifics about platform manipulation. They spell out how they need the fake accounts to juice the likes and retweets of specific posts, with the goal of tricking recommendation algorithms to make government posts appear “at the top of the forum.”
Not content to deceptively propagandize, China police also go on the offensive, identifying critics living overseas and tracking their connections in China. In a growing number of cases, family members are held to intimidate Chinese living abroad into deleting accounts.
When it comes to China content, it’s increasingly difficult to discern real accounts from paid boosters. This shows why. A price list for internet manipulation as a service. A constellation of contractors now provide this for local governments across China.
And we’re likely just getting started. On China’s internet government-sponsored trolling and astroturfing has gone on for years. The tools will get better. The efforts bigger. The results more sophisticated and deceptive. We’ll see if it will be effective: nytimes.com/interactive/20…
On a personal note, this was a struggle to Tweet. It was my final piece working with @CRTejada For a decade he patiently fixed my copy, offered guidance and wry jokes, and, for me, made journalism the greatest job in the world. He was the absolute best. Miss you Carlos.

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More from @paulmozur

Dec 15, 2022
As Russia's invasion of Ukraine stalled, its television propaganda fired on all cylinders. In recent months we went through 1000s of emails from Russia's biggest state broadcaster to learn how. It was a master class in constructing an alternative reality. nytimes.com/2022/12/15/tec…
Each day Russian producers sent incredibly detailed lists of memes and media that could be used to undercut the West. Often that included right-wing cable TV and misleading memes, like this one, showing empty grocery shelves in the US:
Tucker Carlson was a favorite. “Don’t forget to take Tucker” producers wrote to a state-media journalist in the US, pointing to a clip where Tucker warned how opposing Russia and China could end the dollar’s status as a world reserve currency. They often used other clips too:
Read 9 tweets
Nov 28, 2022
It’s day 3 and still videos of protests spread on Chinese social media. We see some familiar tricks, people use filters and take videos of videos to bypass AI models designed to identify sensitive videos. Still, the scale of sharing is likely overwhelming censorship manpower.
It’s difficult to censor video. AI trained software can find specific videos, or things in videos (like candles and tanks). But it’s costly to train new algos and the diversity of protest videos makes it very tough. Thus you need people to check, that takes time.
Tactics like the above, video of a video, trip up the algos too. Ultimately, it’s not that the censorship apparatus is failing, it’s just hit it’s natural limit. When you have this many people posting this much and being creative, the world’s best internet control regime loses.
Read 6 tweets
Nov 27, 2022
Videos of protests across China are still visible on WeChat, even as they quickly become unplayable. This is definitely another Li Wenliang moment, when the full power of the world’s best censorship system battles the full fury of many Chinese. For now, the censors are struggling
It’s worth recalling since Li’s death, we’ve seen with increasing frequency online outrage that even China’s internet controls have struggled to contain. Shanghai lockdowns, Guizhou bus crash, now the Xinjiang fire. Each was a massive censorship event all its own.
It’s hard to know how large each given outpouring was. But the increasing frequency with which you see these mega censorship events is certainly a trend line that gets us to where we are now.
Read 4 tweets
Oct 28, 2022
Get ready for China state-affiliated commentators to raise objections/kiss up to Elon. It would be surprising if Musk doesn’t get lobbied by Beijing to cut Twitter’s labeling of China media/officials. We’ll see how he responds. Obvi big q is also how he handles China disinfo.
Exhibit two in the trend. Again China has been massively active on Twitter with bot nets boosting state media/diplomat disinfo efforts on Covid origins, mass internments in Xinjiang and Russian propaganda like Ukraine bio labs. Musk will have a test in how to deal with it.
For examples about how this works, last year we showed how Chinese state media and embassy accounts on twitter spread YouTube videos in which minority Uyghurs read rote scripts attesting to how free they were and how great their life was: nytimes.com/interactive/20…
Read 9 tweets
Sep 22, 2022
We spent months digging through a 700 gigabyte cache from within Russia's de facto internet intel agency Roskomnadzor.

It gave us one of the most complete pictures yet of Putin's efforts to control the internet. It is at turns farcical and terrifying.
nytimes.com/interactive/20…
As Russia's invasion of Ukraine proceeded, local officials in Bashkortostan, a republic east of Moscow where the files are from, noted down in detail online discontent and protests. They tallied views, likes, specific criticism of Putin, and updated dossiers of worst offenders.
The attention to detail from one small team in one tiny part of Russia is startling. They chronicle anti-war walks and complaints about inflation. At times the reports sound like weather forecasts. “Calm with separate minor pockets of tension,” one said after a dissident arrest.
Read 11 tweets
Jun 26, 2022
Awash in a sea of data, China authorities are trying to police the future.

It's not sci fi. Using vast data records on citizens, new software uses scoring and AI to predict crime and protest before they happen. Often the result is automated prejudice. nytimes.com/2022/06/25/tec…
It works like this: Police make blacklists of people they believe are suspicious: drug users, protesters, the mentally ill. Then they aim the surveillance system at those groups, collecting huge amounts of data on activity, location, relationships: nytimes.com/video/world/as…
Specialized software helps them program digital tripwires on predetermined behaviors they believe could signal a crime. If someone goes to a train station daily, but doesn't ride, they might be a pickpocket. An alarm instructs police to check on them. No warrant necessary.
Read 14 tweets

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