METHODS AND EFFECTIVENESS OF THE USE OF ARTIFICIAL INTELLIGENCE IN THE FIGHT AGAINST CYBERBULLYING
Keywords:
cyberbullying, social networks, information technology, artificial intelligence, neural network, deep learning, anonymous, machine learningAbstract
Online anonymity has exacerbated the problem of unethical behavior, which can, in special cases, go as far as bullying people. To a greater extent, children become victims of cyberbullying, because their understanding of the world has not yet been formed. The issues of control over anonymity, censorship of information stuffing, which can aggravate the political situation in the country, puzzled all countries. But especially close attention to digital censorship has been paid recently. Quarantine and the pandemic have made their own adjustments to cyberspace, making it almost a substitute for face-to-face communication between people. And at the same time exacerbating the problem of aggression. The purpose of the article is to analyze the problem of cyberbullying and give suggestions for its solution. The ways of solving the problem of cyberbullying are highlighted. Artificial intelligence as anti-cyberbullying is the most effective digital censorship tool. Knowing the lexicon of the aggressors, it is possible to compile a dictionary for each resource for artificial intelligence self-learning and the development of anti-cyberbullying for gaming products. An example of a scenario for the use of artificial intelligence in the fight against cyberbullying in the gaming industry is given.
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