In recent years, social media platforms have increasingly adopted artificial intelligence (AI) technologies to enhance online safety, notably through AI-driven video content moderation tools. These advanced systems analyze videos in real time during upload or streaming to detect harmful behaviors such as hate speech, bullying, threatening language, and graphic violence. This automated moderation addresses a major challenge for social media companies: safeguarding users amid the vast and growing volume of user-generated content. Traditionally, moderation has relied on user reports and human reviewers—a process often slow, inconsistent, and mentally taxing—especially given the time and resources needed to manually review lengthy videos, allowing harmful content to remain accessible longer. By using AI to proactively and efficiently monitor large amounts of content, companies aim to quickly identify and mitigate harassment before it escalates or causes broad harm. These AI tools utilize advanced machine learning and natural language processing to interpret both visual elements and contextual cues signaling abuse or inappropriate behavior, such as offensive gestures, threatening speech, or hate symbols. Real-time analysis enables platforms to swiftly flag or remove offending videos and issue warnings or penalties to violators, fostering safer online environments. However, challenges persist: AI accuracy in distinguishing genuinely harmful content from controversial but permissible expression remains a concern, raising issues about over-censorship, freedom of speech, and the subjective nature of online communication. Additionally, AI systems depend on the quality and diversity of their training data, necessitating ongoing efforts to prevent bias and unfair outcomes. To address these challenges, many platforms now use a hybrid approach combining AI detection with human oversight, where AI flags content that humans then review for nuanced judgment.

This balance aims to increase efficiency while ensuring fairness and respect for cultural sensitivities, lessening the burden on human moderators. Industry experts recognize AI video moderation as a significant advancement in fighting online harassment. As AI technology improves, it promises more accurate, context-aware moderation capable of better protecting users from bullying, hate speech, and violence. Safer digital spaces can foster more positive experiences and encourage healthier online engagement. Looking forward, AI integration in content moderation is expected to grow, driven by continued investment in research to enhance both technical capabilities and ethical standards. Cooperation among technology developers, social media companies, policymakers, and civil society will be vital to deploying AI that respects user rights while effectively reducing harmful behavior. Ultimately, while AI video moderation is not a complete solution to online harassment, it represents an essential step forward. By combining technological innovation with thoughtful policies and human judgment, social platforms can create safer environments where users can interact without fear of abuse or harm.