'"This is the perfect moment to do this. This is an age of conspiracies for boomers... Let's kindle their mistrust in Snopes and other fact checkers," wrote one 4chan poster. Snopes.com later reported: In October 2020, a series of threads was posted to the anonymous internet forum 4Chan as part of operation "Snopes-Piercer," a smear campaign with the stated goal of "red-pilling some normies" — internet slang for a propaganda technique in which distorted, fabricated, or skewed information is used to further a self-determined "truth." In order to "red-pill" these people (one thread noted that "boomers" were the primary target), the plan was to create and circulate doctored screenshots of Snopes fact checks to make it appear as if Snopes fact-checkers addressed claims that we had not. Over the next few days, users created and shared these fake Snopes screenshots in a number of additional 4chan threads. These images were also posted on social media sites, like Twitter.... Some were humorous (we did not actually address the claim that CNN reporter Chris Cuomo was actually Fredo from "The Godfather"), some were insidious (we did not really publish a fact check questioning the Holocaust), and some were political (we did not publish a fact check questioning the results of the 2020 election before the election happened)... These red pill campaigns all follow a basic formula. The user decides what they want to be true and then they set out to find, or manufacture, the evidence to support that truth. A concerted effort is then made to spread these false narratives to as wide an audience as possible in order to "red-pill" the general population. In this formula, the desired "truth" comes first. The "evidence" comes second. It goes without saying that this method is antithetical to the mission of Snopes, fact-checkers in general, journalists, and anyone seeking an objective view of reality.' -- source: https://news.slashdot.org/story/20/10/24/1952242 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 577-5304 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/