"Vaccines and vaccines against the Coronavirus cause infertility, and it is one of the infernal methods that the invisible world government devised to eliminate humans and prevent their reproduction!"
This is one of the rumors that have spread widely through social media in recent days. In fact, the person who sent me this "tweet" was not an illiterate or ignorant person, but rather a university professor over 50 years old, and he strongly advised me not to take the vaccine, then Send me a video circulating on YouTube in which people - seemingly doctors - talk about the conspiracy behind the Corona epidemic and the hidden goals of it.
In fact, since the Corona pandemic began early last year and rumors related to the virus do not stop, millions of tweets, posts and videos have been circulated heavily through social media, and most of them fall within the context of a conspiracy theory that aims to reduce the number of people, or control them, domesticate them and deal with them. They are also pets that are easy to drive and control.
These unfounded rumors, and which no one knows who started them or standing behind them, contributed to confusing the relentless efforts made by health care institutions in various countries of the world to combat the virus and control it, and let us take a realistic and vivid example of the reluctance to take vaccinations. And anti-virus vaccines in a large number of countries of the world.
Who started these rumors for the first time, who is behind them, and what is he wanting behind them?
Nobody knows or can know.
But hey, this was true until only a few days ago, but now, thanks to artificial intelligence, it has become possible to determine the source of these rumors, how they started and who is behind them.
According to a study published last week in the Journal of Medical Internet Research, an American research team has come up with designing a new machine-learning program that accurately identifies all rumors and conspiracy theories related to the Coronavirus that causes Covid-19 disease spread across social media platforms. This would help public health officials in the future to fight such misleading information and eliminate it in its infancy, and monitor how it started and evolved with time.
Many machine learning studies looking at rumors and misinformation that spread through social media focus on identifying various types of conspiracy theories (social media).
Dr. Courtney Shelley, a research professor in the Information Systems and Modeling Group at Los Alamos National Laboratory and co-author of the study, says, "Many of the machine learning studies looking at rumors and misinformation that spread through social media focus on identifying various types of conspiracy theories, but we are in contrast. We focused in our research on building a deeper and comprehensive understanding of how these theories started, changed and developed as they spread more, because people in general tend to believe rumors, especially bad ones.
"The program that we designed will enable public health officials in the future to monitor the development of rumors and conspiracy theories that are spreading and gain momentum through social media, and then build media campaigns to eliminate them in their infancy and before they spread to an uncontrollable large scale," Shelley added.
And the study, titled "Thought I'd Share First", used anonymous data on "Twitter" to describe and identify the most prominent 4 rumors (conspiracy theories) related to the Corona virus, and to know the most prevalent in the first five months of the start of the epidemic. . These four rumors are that the transmission towers of the fifth generation networks for communications networks spread the virus, that the Bill and Melinda Gates Foundation contributed to making and spread the virus, and that the virus was biologically engineered or deliberately developed in the laboratory, and that the anti-virus vaccines that were under development at that time would be It has dangerous health effects on humans.
For his part, Dax Gertz, a computer scientist at Los Alamos National Laboratory and a participant in the study, said, "We began the research by studying a database of about 1.8 million tweets in Twitter, containing keywords related to (Covid-19), and then we identified its subgroups. A direct relationship to the previous four rumors, using special filtering forms, then we identified hundreds of tweets in each of the four aforementioned groups.
One of the rumors that spread stated that the Bill and Melinda Gates Foundation contributed to making and spreading the virus (Reuters)
"Then, using the data collected from each of the four groups, we were able to employ artificial intelligence to build a special machine-learning program capable of identifying and classifying every tweet providing wrong information about the Corona virus. This allowed us to monitor people who talk about conspiracy theories and spread rumors on social media," he added. Social and identifying them, and following up the development of these theories and rumors and their change over time. "
The study showed that tweets that contain rumors and wrong information get bigger and change over time, and differ from the source from which they originated. For example, Bill Gates participated in the "Ask me anything" program on the "Reddit" site in March. 2020, in which it unveiled its funding for research developing a secret, invisible, injectable ink that can be used to record vaccines.
Immediately after the meeting, rumors appeared talking about conspiracy theories that the vaccines and vaccines being developed against the Corona virus contain hidden microscopic chips that will be implanted in humans to monitor them and limit their reproduction.
Dr. Shelley stresses that it is important for public health officials to know how rumors and conspiracy theories begin, and how they develop over time, in order to develop specific strategies to fight them and kill them in their infancy, and that this program based on artificial intelligence will certainly help them on this task.