Online Comment

Online comments, a ubiquitous form of user-generated content across various digital platforms, are a rich source of information for understanding public opinion, detecting misinformation, and improving online experiences. Current research focuses on leveraging machine learning models, including large language models and transformer-based architectures, to analyze comment sentiment, identify harmful content like hate speech, and even predict user behavior. These analyses have implications for improving online safety, enhancing recommender systems, and furthering our understanding of online discourse and its impact on society.