Yeyang Chen

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About

Yeyang Chen is a rising researcher in computational social science and natural language processing, with a focused interest in detecting and analyzing social robots on social media platforms. Chen’s most notable contribution is the development of a hybrid detection framework that combines a RoBERTa classifier with a Random Forest regressor, enhanced by similarity analysis, to identify sophisticated bot accounts on Twitter. This work, published in 2022 and garnering 6 citations, addresses the critical challenge of automated accounts that mimic human speech to manipulate public opinion. By integrating deep learning with traditional machine learning techniques, Chen’s approach improves detection accuracy for increasingly human-like bots. The research holds significant implications for safeguarding democratic discourse and online communication integrity. Chen’s work stands out for its methodological innovation, bridging state-of-the-art language models with robust regression analysis, and has been recognized as a timely contribution to the growing field of social media authenticity. As social bots become more prevalent, Chen’s findings provide a valuable tool for platforms and policymakers seeking to preserve healthy online ecosystems.