The discussion centers on distinguishing between real human interactions and machine-generated responses in real-time social media chats. Participants emphasize that this challenge is primarily a Computer Science issue rather than a Physics one. Key methods for recognition include analyzing conversational patterns and the context of interactions. The conversation highlights the importance of developing algorithms that can effectively differentiate between human and machine-generated content.
PREREQUISITESThis discussion is beneficial for computer scientists, machine learning engineers, social media analysts, and anyone involved in developing technologies for real-time communication verification.
The only thing I can tell you is that this is much more a Computer Science problem rather than a Physics problem.Vi Nguyen said:How do I recognize real men, women, and children are chatting on the social media in real time? Or how can I recognize it is a machine generated or real people are talking?
I want to know real time people are chatting vs. machine generator or someone manipulate.
Vi Nguyen said:How do I recognize real men, women, and children are chatting on the social media in real time? Or how can I recognize it is a machine generated or real people are talking?
I want to know real time people are chatting vs. machine generator or someone manipulate.
You're a not. (Dance)Monoxdifly said:Video chat?
Now, am I a bot or not?