La veille de la cybersécurité

One of the biggest problems with social media is spammers who spam adult content. Detecting and removing such content quickly is essential to keep social media clean. Researchers from Jamia milia university have described how the user experience of young people can be improved if the spam content is filtered. Various machine learning tools can be used to detect such content and classify them as spam. Of the different models they tried, they found XG Boost to be the one with the highest accuracy at 91% and adapted the algorithm for effective classification.