How can real-time sentiment tracking improve phishing detection by identifying manipulative language or emotional cues?
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How can real-time sentiment tracking improve phishing detection by identifying manipulative language or emotional cues?
Real-time sentiment tracking can improve phishing detection by analyzing the language used in emails or messages and identifying emotional cues that are often present in manipulative or phishing attempts. By monitoring the sentiment of incoming messages, AI algorithms can flag suspicious communications that exhibit characteristics of phishing, such as urgency, fear, or greed. This proactive approach helps in identifying and blocking phishing attempts before they can cause harm.