The mysterious “Q” behind the QAnon conspiracy movement, which was instrumental in the storming of the US Capitol, is in fact two people, according to Swiss experts.
Swiss startup OrphAnalytics said it had used its algorithm-based machine-learning text analysis software, developed to detect plagiarism, to help crack the mystery behind QAnon.
“There are clearly two styles characterising the QAnon messages,” company chief Claude Alain Roten told AFP in an interview at his home in western Switzerland.
The conspiracy movement is based on messages by “Q Clearance Patriot”, who claims to be a U.S. intelligence official leaking classified information.
The so-called Q-drops began appearing on fringe messaging board 4chan in October 2017 and later moved to 8kun, promoting a vast conspiracy theory claiming President Donald Trump is waging a secret war against a global liberal cult of Satan-worshipping paedophiles.
There has been speculation about Q’s identity and whether one person is really behind thousands of these Q-drops but Roten said it was now clear “two people are behind them”.
After “cleaning” 4,950 Q-drops of irrelevant content like web links and greetings, he feeds them into the software.
On the screen, a colourful scatter plot chart appears showing two clearly distinct collections of dots.
He said the chart showed a clear difference in style between the first Q messages that appeared on 4chan, from October 28 to December 1, 2017, and the subsequent messages.
“The signal difference is strong enough to leave very little doubt on this author’s swap,” OrphAnalytics said in a white paper published last month.
Florian Cafiero, a renowned stylometry researcher at the French National Centre for Scientific Research, said OrphAnalytics’ work on QAnon “looks convincing”.
https://www.breitbart.com/europe/2021/01/17/swiss-analysts-using-machine-learning-to-crack-identity-of-q/
(post is archived)