The AI Paradox: Balancing Free Speech with Online Safetyin the Era of Automated Moderation

There have been numerous reports of news articles that exhibit predominantly negative quality and tone. These types of incidents happen rather often. However, there are certain situations where the news might be highly detrimental, even though it remains essential and continues to hold importance in our lives. Our approach entails leveraging programming skills to gather news stories, which are subsequently assessed using a toxicity meter and analyzed. This operation is undertaken with the purpose of enriching the data that is fed into the programming solution. Improving the current solutions for detecting toxic news can only help to better understand the patterns and the purpose of this news. Moreover, improving this level of understanding can be achieved by further processing the resulting data with new technologies. For the time being the proposed solution helps with the classification of the most toxic news.