Friday's Shoutbox

[EndtheMadnessNow]

Friday's Daily Dose  



The Covert Clowns | Propaganda Times



Daily Dose



Yahoo! news

In a letter published Nov. 3 to the New England Journal of Medicine, authors of the Qatar study detailed how they sought to investigate the “phenomenon” by examining tens of thousands of people in the country who had been reinfected with an omicron subvariant.

The study found that when looking at participants who had received three vaccine doses and had also been previously infected with an omicron subvariant, they experienced more reinfections than participants who had only gotten two doses.
Yahoo archived copy

Military Leaders Praise Musk as Treasury Officials Eye Twitter Deal

Outgoing Chief of Space Operations Gen. Jay Raymond thanked the SpaceX CEO “for being here.”

“What he symbolizes, in reality, is the combination of the civil and military cooperation and teamwork that makes the United States the most powerful country in space. So, Elon, thank you for making yourself present here today,” Gen. Mark Milley said during the Wednesday ceremony at Joint Base Andrews outside Washington, D.C.

MASSIVE ANTI-RUSSIAN ‘BOT ARMY’ EXPOSED BY AUSTRALIAN RESEARCHERS

An Australian university has unearthed millions of Tweets by fake ‘bot’ accounts pushing disinformation on the Ukraine war.

A team of researchers at the University of Adelaide have found that as many as 80 percent of tweets about the 2022 Russia-Ukraine invasion in its early weeks were part of a covert propaganda campaign originating from automated fake ‘bot’ accounts.

An anti-Russia propaganda campaign originating from a ‘bot army’ of fake automated Twitter accounts flooded the internet at the start of the war. The research shows of the more than 5-million tweets studied, 90.2 percent of all tweets (both bot and non-bot) came from accounts that were pro-Ukraine, with fewer than 7 percent of the accounts being classed as pro-Russian.

The university researchers also found these automated tweets had been purposely used to drive up fear amongst people targeted by them, boosting a high level of statistically measurable ‘angst’ in the online discourse.