Description: Hate speech detection is the process of identifying and filtering hate speech in online content using artificial intelligence (AI) technologies. This phenomenon refers to any form of communication that degrades, discriminates, or incites violence against individuals or groups based on characteristics such as race, religion, sexual orientation, gender, and others. Hate speech detection is crucial in the digital age, where social media platforms and online forums can amplify harmful messages to a massive audience in seconds. AI technologies, such as natural language processing (NLP) and machine learning, are used to analyze large volumes of text and detect patterns indicating the presence of hate speech. However, this process is not without ethical challenges and inherent biases, as algorithms can reflect existing prejudices in training data, leading to the censorship of legitimate voices or the failure to detect harmful content. Therefore, hate speech detection involves not only a technical aspect but also raises important questions about freedom of expression, platform responsibility, and the need for a balanced approach that protects users without compromising their fundamental rights.
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