In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system. Whether it’s used for analyzing unusual posts, evaluating the trustworthiness of social media accounts or dissecting specific types of anomalies, AI has boundless capabilities when combined with human expertise. https://www.forbes.com/sites/forbestechcouncil/2023/10/18/ai-driven-anomaly-detection-on-social-media-5-things-to-consider/ Share this: Click to print (Opens in new window) Print Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Like this:Like Loading... Post navigation What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection (ACL Anthology) Probing LLMs for hate speech detection: strengths and vulnerabilities (arXiv)