A Review: Detection of Discrimination and Hate Speech Shared on Social Media Platforms Using Artificial Intelligence Methods

People have political views, race, language, religion, gender, etc. may face discriminationDiscrimination based on their status. Again, these situations can emerge as hate speechHate speech against people. Hate speechHate speech and discriminationDiscrimination can occur in any environment today, as well as on social mediaSocial media platforms such as TwitterTwitter, Instagram, Facebook, YouTube, TikTok, Snapchat recently. TwitterTwitter is a place where people share their ideas and news about themselves with their followers. To detect situations such as sexist, racist, and hate speechHate speech, recently, TwitterTwitter dataData have been examined and these discourses have been tried to be determined with various analysisAnalysis and classificationClassification methods. While detecting these, it is done with artificial intelligenceArtificial Intelligence (AI) methods such as Support Vector Machines, Artificial Neural Networks, Decision Trees, Long Short-Term Memory. Considering that many information such as events, meetings, news etc. spread rapidly on social mediaSocial media, it is extremely important to quickly determine how people can react in discriminationDiscrimination and hate speechHate speech with these methods and to be able to take precautions. In the study, firstly, after determining the discriminationDiscrimination and hate speechHate speech, it was determined which studies were carried out in the literature about what was shared on social mediaSocial media platforms. In these studies, it has been determined that artificial intelligenceArtificial Intelligence (AI) methods are used, and the methods used are successful. Automatic detection systemsSystem for discriminationDiscrimination and hate speechHate speech have been developed in many languages.