Annotated Tweet
Annotated tweets are social media posts tagged with specific labels, enabling researchers to analyze various aspects of online communication. Current research focuses on developing and applying machine learning models, particularly transformer-based architectures like BERT and RoBERTa, to automatically classify tweets based on characteristics such as sentiment, the presence of misinformation or manipulation, and the nature of scientific discourse. This work is crucial for understanding public opinion, detecting harmful content, and improving the accuracy of information extraction from large-scale social media datasets, impacting fields ranging from political science and public health to computational linguistics.
Papers
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