Folks messaged me about a new hashtag anti-Andrews campaign trending, so I collected over 67,000 tweets (past 7 days) containing the relevant hashtags and ran the data through a coordinated behaviour detection system

A few insights, starting with a network map 🧵
The network shows large-scale, loosely coordinated behaviour by a hard core of campaigners who spam the hashtags repeatedly together, all day long.

BUT it's @CraigKellyMP and @OzraeliAvi who jump onto the fringe activity and turn it into a roaring blaze with two viral tweets
A pro-Andrews counter-attack started almost immediately, orchestrated by @PRGuy17, in an effort to hijack the hashtags and drown out the anti-Andrews discourse
But the sustained anti-Andrews hashtag activism (see network above), super-fuelled by a handful of viral tweets by @OzraeliAvi and @CraigKellyMP, ultimately overpowers the pro-Andrews activists

The top 20 accounts sent 8% of all tweets:
The most active anti-Andrews hashtag campaigner is a newborn anonymous account, created just over 2 weeks ago. They've tweeted 311 times per day or 12 times per hour, and only tweet about Andrews and the Vic lockdown
Three key takeaways:

1. Fringe activists are driving the anti-Andrews trending campaign, but it's a politician (@CraigKellyMP) and citizen journalist (@OzraeliAvi) who, with only a few tweets, turn the sparks into a roaring blaze that sustains itself thereafter
2. There's an information war happening and a battle ensued between pro-Andrews campaigners (led by @PRGuy17) who routinely hijack such hashtags, however here they appear to be drowned out by the coordinated behaviour of the anti-Andrews campaigners
3. This little case study has many parallels with previous partisan hashtag campaigns, echoing research I've previously conducted with colleagues at @qutdmrc theconversation.com/istandwithdan-…
Finally, data was collected using the 'twarc2' toolkit and the coordination networks constructed using a custom-built software that we've made freely available!

If anyone wants to reproduce this and needs tweet IDs, please DM me.
github.com/QUT-Digital-Ob…
Quick clarification - it appears that @CraigKellyMP was more active than I noted in this dataset, as @PRGuy17 has documented here. However, his activity volume pales in comparison to the fringe accounts, although gets far far more engagement
Postscript: Only now do I realize that Craig Kelly’s tweets aren’t in this dataset because he already blocked me! So I can only see metadata when people retweet or reply to him, but his original tweets just aren’t in this dataset. That’s why I underestimated his tweet activity…

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More from @timothyjgraham

5 Oct
Following up this analysis, even though @CraigKellyMP only sent 114 (0.001%) of the anti-lockdown campaign tweets, he received a whopping:

- 28% of all likes
- 25% of all replies
- 26% of all quoted retweets.

This diagram shows the top accounts by engagement metrics 🧵
But when it comes to retweets, Kelly's metrics are overshadowed by the amplification efforts of a coordinated network of fringe protestor accounts, as this chart shows:
We see that Kelly doesn't appear in the coordinated behaviour network (see original tweet above). Rather, his tweets frame the agenda and injects a massive amount of fuel into the Twitter protest networks *but* he doesn't coordinate his activity with them.
Read 8 tweets
1 Aug
New study reveals private groups behind the 'pl*ndemic’ disinformation campaign. These groups not only coordinated a surge in COVID-19 conspiracy theories, but also "coached" citizens into fanatic activism against COVID-19 measures. frontiersin.org/articles/10.33…
The study found that this was driven mostly by small-reach conspiracy theorists all posting at once:

“The most influential Twitter users … appear to be either citizens or activist accounts, rather than bots”
Also interesting:

“And the most common word in more than half of all top users' profile descriptions was “truth.” These profile descriptions often signal a search for a “hidden truth,” as if they are part of a citizen initiative to purge the world of evil actors.”
Read 4 tweets
5 Jan
Just to clarify, the primary interest here is Twitter's design features and dynamics, and how a single account (@PRGuy17) managed to get a hashtag to #1 on the Australia trending list in less than 1 hour

(1/5)
I ran sentiment analysis to provide a quick comparison with our peer-reviewed study of hashtag publics during #Covid19Vic, where we found that pro-Andrews tweeters were overwhelmingly positive and anti-Andrews tweeters were overwhelmingly negative:

journals.sagepub.com/doi/full/10.11…

(2/5) Image
But I agree with criticism of VADER and similar tools, especially limitations for detecting irony and sarcasm. Folks are right to question it

And we acknowledge its limitations in the paper above and highlight its usefulness at scale as part of a broader suite of methods

(3/5)
Read 5 tweets

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