#MacronLeaks — how disinformation spreads

It’s the combination of catalyst accounts and an army of signal boosters ― a number of which are bots ― that allows disinformation to spread quickly.

Kris Shaffer
May 22, 2017 · 4 min read

A lot happened online on May 5, 2017. Ben Starling, CE Carey, and I found evidence of a massive disinformation campaign taking place on Twitter and 4chan, in an attempt to swing the French presidential election in favor of Marine Le Pen. As we were putting the finishing touches on our article about this campaign, we saw the tweet from WikiLeaks, announcing that a 9GB dump of documents from the Macron campaign (dubbed #MacronLeaks) had been posted online. Then the Macron campaign confirmed that they had been the target of hackers, possibly with Russian connections.

We continued to collect tweets related to the French election until two days after the election, in addition to ongoing monitoring of content on 4chan’s politically incorrect board ― known simply as /pol/. In the aftermath of the election, we analyzed how the #MacronLeaks news spread through 4chan and Twitter. What we found was a pattern that keeps arising in our (and others’) study of the spread of disinformation online:

An anonymous user dumps information on 4chan, and then a small number of “catalyst” accounts bring the disinformation to a more mainstream platform like Twitter, where an army of bots, sockpuppets, “$hitposters”, and unsuspecting individuals amplify the signal until it “trends” and a celebrity account brings it to the attention of mainstream media.

It’s this combination of what we’re calling catalyst accounts and the army of signal boosters ― a number of which are bots and botnets ― that allows the disinformation to spread quickly and reach the mainstream.

#MacronLeaks timeline

Here is a timeline of how the MacronLeaks campaign progressed, beginning with early signs that a data dump might be coming, through the Macron campaign’s announcement confirming a hack.

Open timeline in its own window.

There are a few key takeaways from this timeline:

I think it’s also important to note the absence of some more well known players in this narrative: Breitbart, InfoWars, Fox News, … none of the established media sources on the far-right or center-right played a role in this, including those known for fake-news conspiracy theories. Whoever was behind this disinformation campaign knew how to get the message front-and-center quickly, at a crucial time ― just a few hours before the campaign news blackout in France.

And while the campaign was not successful in swinging the election in favor of Le Pen, it was absolutely successful in terms of controlling the mainstream media narrative at the most pivotal moment of media attention in advance of the election. They had the last word. And if (and that’s a big if right now) the architect of this campaign is the same as the one behind #MacronGate, they were also successful in shifting the focus of the last French presidential debate. If it’s not perpetrated by the same actor(s), then the #MacronLeaks campaign certainly capitalized on the success of #MacronGate, and was likely aided by its priming of media attention.

We’re seeing disinformation campaign tactics evolve quickly, but one key trend seems to recur: use catalysts and amplifiers to bring propaganda to the attention of the public at large, with the goal of getting a major influencer outside your community to boost it into mainstream media or campaign activities. This time that was Wikileaks, in the past it’s been the Trump campaign itself.

The UK election is coming soon, as is Germany. We’ll keep studying these campaigns, along with our Data for Democracy colleagues, and we’ll keep you posted.


Originally published at pushpullfork.com.

Data for Democracy

Collaborating on data projects to build a stronger society.

Kris Shaffer

Written by

Data Scientist. Computational musicologist. Digital media specialist. Developer. Author. University of Mary Washington, Hybrid Pedagogy.

Data for Democracy

Collaborating on data projects to build a stronger society. Email team@datafordemocracy.org for an invitation.

Kris Shaffer

Written by

Data Scientist. Computational musicologist. Digital media specialist. Developer. Author. University of Mary Washington, Hybrid Pedagogy.

Data for Democracy

Collaborating on data projects to build a stronger society. Email team@datafordemocracy.org for an invitation.

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