Boyang Wang

Biography

Boyang Wang is a PhD Candidate in Accounting at Essex Business School, University of Essex. His research lies at the intersection of artificial intelligence, machine learning, and corporate financial disclosure. He is particularly interested in how AI is reshaping corporate communication, most notably through the concept of Algorithmic Disclosure Management, the strategic adaptation of corporate language to influence algorithmic readers such as Large Language Models. His work also examines AI-driven changes in financial reporting quality and applies NLP-based textual analysis to corporate annual reports. Boyang holds a First Class Honours BSc in Accounting and Finance from the University of Essex and previously studied at Guangdong University of Foreign Studies. His doctoral research is supervised by Dr Hao Lan and Prof. Henry Agyei-Boapeah. His broader research interests include NLP and textual analysis, causal inference using Difference-in-Differences and panel econometrics, and financial disclosure in emerging markets, with a focus on Chinese A-listed firms. His recent work includes the working paper Writing for Machines: Algorithmic Accommodation in Corporate Disclosure, which introduces the concept of Algorithmic Disclosure Management and develops a novel LLM-Targeting Score. He has presented his research at the Essex Business School PhD Research Conference and the PhD Sustainability Workshop. In 2022, he was named to the Dean's List at the University of Essex.

Qualifications

• BSc Accounting and Finance University of Essex (2023)

Thesis