NSFW AI can help with locating cyberbullying however, this again depends on the quality of its training and data sets. According to research, almost 37% of teenagers enter cyberbullying around the world which is on the rise as digital platforms are more widely used. AI for detecting hateful contents like abusive language, and threatening behavior has the potential to drive these statistics down, especially in social media platforms and messaging apps.
A good example would be social media organizations like Facebook using AI-driven tools to sift through posts, comments, and private messages for aspects of cyberbullying. These Ai systems examines text for hate speech, threats and other abusive behaviors. In 2021 alone, Facebook's AI had removed more than 95% of hate speech in under 24 hours after it was detected and therefore stopped the proliferation of harmful content. This demonstrates how AI can act in real time and how it also succeeds in capturing instantaneously an emerging cyberbullying situation.
Additionally, AI can be used to detect if manipulated or altered images and videos are being used for shaming or harassing an individual. A large platform employed a detection tool using AI to unveil manipulated content, flagging more than 300k examples in only the first quarter of use in 2020. Such as fake, recut photos evil-willed people use for bullying. Due to machine learning, NSFW AI can now identify even more subtle forms of bullying that human moderators would miss, for example passive-aggressive remarks or indirect threats. In a 2021 study conducted by Stanford University, AI was found capable of detecting such behavior with 89% accuracy.
AI can also detect the context and tone of messages, which enhances its ability to identify others. Unlike AI systems decades ago, which could not discern whether a statement was humorous and sarcastic or seriously harmful. That is why, according to experts from the Anti-Defamation League, it is important for AI systems to be trained with diverse and high-quality datasets, which when improved will enhance the accuracy of these AI systems in identifying cyberbullying.
Earlier this month, a top social media firm released findings relating to how well AI is succeeding with the task of reducing cyberbullying. The company found a 40% drop in bullying-related reports in areas where its AI detection tools were used. Still, AI sometimes flags content that will be sent for a human review. Because around 10% of flagged content must be verified manually to avoid abuse, as the commission said.
The bottom line is that NSFW AI can identify cyberbullying text and images, which will help reduce online harassment. We have seen significant ushering of safer environments through the employment of AI tools to moderate content. Go to nsfw ai for more information.