Explore an innovative approach to automated spear phishing on Twitter using machine learning and data science techniques. Learn how to leverage recurrent neural networks, clustering algorithms, and natural language processing to generate targeted phishing campaigns. Discover methods for identifying high-value targets based on social engagement metrics, and understand the process of creating personalized content using timeline data. Examine the effectiveness of this approach through real-world testing and comparisons to manual efforts. Discuss potential applications, ethical considerations, and mitigation strategies for this powerful social engineering technique. Gain insights into the intersection of offensive security, artificial intelligence, and social media exploitation.