Benjamin Strick

A coordinated network of fake accounts posed as Sikh personas to promote the Indian Govt, nationalism & label Sikh activists as terrorists.

They claimed they were #RealSikhs, but were far from it. News on our investigation: https://t.co/iJNDWmFZgq Here is an explainer thread👇 https://t.co/DZfe7De5ZK

What we know is that their aims were to label Sikh political interests as extremist, stoke cultural tensions within India & overseas & promote the Indian Govt.

So WHO are the #RealSikhs?
WHAT was their aim?
And HOW did they attempt to distort perceptions? https://t.co/jnkNY4PBqV

First, WHO were these accounts trying to be and what did they look like?

The accounts were well-curated. They had relatively high follower numbers & were very active.

The personas were replicated across Twitter, Facebook and Instagram. https://t.co/0jEBLWnfiH

Let's take a look at some of the accounts. The first pattern identified in this network is the profile images.

Most of the accounts in this network used the images of Bollywood actresses & celebrities.

Here is @jimmykaur3. It's actually an image of an actress. https://t.co/M32C05DNXZ

Here is @Amarjot42854873? Again - fake. This person does exist and it's not Amarjot Kaur. https://t.co/m17uImzVxF

Next up @TanvirSandhu16. Again, also fake. This is actually an image of Isha Rikhi. https://t.co/36PhyBylOB

Let's take a look at @nupurkaur1. This is actually a photo of the sister of Mubashra Aslam. https://t.co/Mq70bK6Fz9

Are we seeing a pattern here?

Here is @kaurgunjann with more than 7000 followers.

This is actually actress Mandy Takhar. https://t.co/2Qpku9Rebm

I call these accounts sock puppets. They are fictitious online identities attempting to be a specific persona.

And these ones have a story that doesn't just exist on Twitter - let's take a look. https://t.co/E9z2lU75cc

These fake accounts carry their personas over to different platforms.

We found that 22 accounts that were the same personas on Twitter & Facebook. They used the same image, name, cover photo, and posted the same content.
Here is an example of 'Sanpreet' on both platforms. https://t.co/3rkEeSONM7

And here is 'Gunjan' - also copied across to Facebook. https://t.co/cIq1OPB6bM

Many of the personas were present on Instagram as well.

Note: the accounts had significantly less success with metrics on Instagram and Facebook in comparison to the traction they gained on Twitter. https://t.co/vbXOrqn8io

So WHAT was their aim?

We can glean some obvious details from the content the accounts post. Here is some of the Facebook activity we looked at. It shows a strong focus on countering Sikh independence. Note the prominence of tags such as #PakistanBehindKhalistan https://t.co/kSHu563reY

That same tag, as seen on Twitter, shows extremely similar content. Again targeting Sikh independence.

You can see much of the content had few interactions. https://t.co/7zvc0CvBe7

However, some of the content gained significant traction. For example this tweet about independence groups overseas received more than 3000 retweets and 16,000 likes.

Not bad for a sock puppet with a set list of talking points to promote certain narratives. https://t.co/HZrcyfmBAz

The coordinated fake network also amplified concerning narratives that attempted to define what 'real Sikh' and a 'fake Sikh' is. https://t.co/9TFwJh7cOo

The fake network of accounts also attempted to push specific narratives about the farmers' protests using messaging claiming that ‘Khalistani terrorists’ hijacked the protests. https://t.co/42jvi6iLz4

There was also a common theme throughout the network of fake personas to retweet or tweet about the Indian Armed Forces and Indian Army content.

This content was unique as it was not related to Sikh independence much like the other content. https://t.co/sK2XDMzKSY

While most of the content appears to push specific talking points, or narratives, some tweets (example below) went further in a call for 'nationalists' to 'counter & expose' groups this network labelled as extremists. https://t.co/yir3kekrjX

While the fake personas appeared to gain significant traction on Twitter, their tweets and images were also linked, embedded, or reposted on news sites and blogs indicating platform breakout.

Below are two examples of this. https://t.co/uQM6z7k5VH

Often with influence operations, looking at a network through visualised data helps with a lot of things - namely identifying how it operates, size, spread and also finding more accounts.

So let's take a look at that. https://t.co/fSXgM8Ub8J

I captured data using the Twitter API on three tags used by the network: #RealSikhsAgainstKhalistan, #SikhsRejectKhalistan & #RealSikhs.

I've set out that data using @Gephi to show the core network of primarily fake accounts and the wider network of amplifiers in the outer ring. https://t.co/dvx9xNW1aN

Doing helps to visualise the interactions (likes, retweets) between accounts.

For example, here I have highlighted the interactions of @SimranK60419840 to show its personal spread within the network. https://t.co/1d0GEkw9Tw

Though the captured activity was only a sample of these accounts, it did show that there was consistent amplification from smaller fake accounts (on right in inner circle).

Using those accounts on the right, we could find more that were being retweeted within the fake network https://t.co/MAbbtfSYRw

These findings are documented in a full transparent influence operations research report here @Cen4infoRes: https://t.co/LLwyBPkSl9

This report was shared with teams at Twitter and Meta. All of the accounts identified in this research have subsequently been suspended 👊

Well done @FloraCarmichael @shrutimenon10 for turning this in-depth influence operations research into a newsworthy report. https://t.co/iJNDWmFZgq. Also a big thanks to @elisethoma5 and staff at @Cen4infoRes for reviewing this research.

For those wanting to view this piece in other languages, here are the translated versions from the BBC.
Punjabi https://t.co/6pjH5J8GHF
Urdu https://t.co/JMVkfShb69
Gujaratihttps://www.bbc.com/gujarati/india-59388510
Hindi https://t.co/c2yIS7ztdy
Telugu https://t.co/1uhyxKWK1w

Wed Nov 24 10:18:41 +0000 2021