LANGUAGE OF HATE THROUGH COMMUNICATION IN SOCIAL NETWORKS

Work on the theme of hate speech used in the media and mass media for the importance and complexity that this topic represents, can hardly be neglected, especially since today the whole world is under the influence of the development of modern technology. In our society, where there is a lack of adequate information of the citizens about the impacts that derive from the use of hate speech, when it comes to the content of these messages, it is noticed that they are tainted by the most diverse, regardless of the status, gender or other extra-linguistic factors. The Internet revolution has redefined the concept of communication. The main objective of this article is to study the impact of the use of hate speech in the media in Albania, the examination and linguistic interpretation of the lexicon, drawn from the speech of public figures, as well as the evidence of characteristics in the relevant speech. The main method is the research, classification and analysis of the selection of the "language" of hate from the speech of public figures in written and spoken discourse. Through this statement, we must come to the conclusion that the use and promotion of hate speech in the media has a profound psychological, spiritual, but also physical impact, which can go up to fatal consequences. Based on this analysis, we can say that it remains the duty of state institutions through legal acts, even media, etc

RECAST: Interactive Auditing of Automatic Toxicity Detection Models

As toxic language becomes nearly pervasive online, there has been increasing interest in leveraging the advancements in natural language processing (NLP), from very large transformer models to automatically detecting and removing toxic comments. Despite the fairness concerns, lack of adversarial robustness, and limited prediction explainability for deep learning systems, there is currently little work for auditing these systems and understanding how they work for both developers and users. We present our ongoing work, RECAST, an interactive tool for examining toxicity detection models by visualizing explanations for predictions and providing alternative wordings for detected toxic speech.Comment: 8 Pages, 3 figures, The eighth International Workshop of Chinese CHI Proceeding