Billionaires and their corporate toys are using artificial intelligence and deep learning machines to attempt to re-engineer humanity to be more obedient to them, as well as being less competetive. Researchers from Europe are attempting to use AI to analyzie tweets about vaccines and climate change to learn how to identify sources of dissent and shut it down. Of course the researchers didn’t say such things outright, but, in essense, this is how we read a project such as this. Researchers claim to just be attempting to understand how opinions form, how ideas spread, but they’re essentially seeking to map out the structures of dissent itself.
Researchers use AI to analyze tweets debating vaccination and climate change
From phys.org
2022-01-17 09:06:08
Excerpt:
Using artificial intelligence (AI) researchers have found that between 2007 and 2016 online sentiments around climate change were uniform, but this was not the case with vaccination.
Climate change and vaccinations might share many of the same social and environmental elements, but that doesn’t mean the debates are divided along the same demographics.
A research team from the University of Waterloo and the University of Guelph trained a machine-learning algorithm to analyze a massive number of tweets about climate change and vaccination.
The researchers found that climate change sentiment was overwhelmingly on the pro side of those that believe climate change is because of human activity and requires action. There was also a significant amount of interaction between users with opposite sentiments about climate change.
However, in the snapshot of the timeframe of the dataset, vaccine sentiment was nowhere near so uniform. In fact, only some 15 or 20 percent of users expressed a clearly pro-vaccine sentiment, while around 70 percent expressed no strong sentiment. Perhaps more importantly, individuals and entire online communities with differing sentiments toward vaccination interacted much less than the climate change debate.
“It is an open question whether these differences in user sentiment and social media echo chambers concerning vaccines created the conditions for highly polarized vaccine sentiment when the COVID-19 vaccines began to roll out,” said Chris Bauch, professor of applied mathematics at the University of Waterloo. “If we were to do the same study today with data from the past…
