Huang Jingxiang

“The grandest metamorphosis is a farewell to oneself; the blossoming trees, radiant and vivid, are not bound by the longing of poems’ words.”

About me

Huang Jingxiang, a 2024 master’s student majoring in journalism and communication at Nanjing University. He is a member of the Computational Communication Collaboratory. He is advised by Professor Cheng-Jun Wang. His research interests include computational social science, natural language processing and Data mining.

Currently, my research interests focus on two aspects: one is trying to apply causal inference methods on social media data to explore whether a certain narrative with the spirit of the times in social media can have an impact on reality; the other is trying to innovatively apply NLP technology to social science research, so as to capture more insights from the text when analyzing large-scale corpus.

What’s more, I am the manager of the WeChat Official Account 计传大排档 (Computational Communication Daipaidong), where I regularly share not only the academic papers I have read, but also my reflections on scholarly communication, research experiences, and insights gained throughout my academic journey. You’re very welcome to follow and join the discussion!

Education

• M.A., Nanjing University, Nanjing, China. Department of Journalism and Communication.(September, 2024-June, 2027 Expected).
• B.A., Harbin Institute of Technology(Shenzhen), Shenzhen, China. Department of Computer Science and Technology.(September, 2020-June, 2024).

Conference papers

1. Huang, J., Yan, X. F., Wang, C. J.* (2025). Using ChatGPT Strengthens Binding Moral Foundations: Evidence from Weibo Based on Social Cognitive Theory. Paper to be present at National Communication Association (NCA) 111th Annual Convention, Human Communication and Technology Division, Denver, CO.

Working papers

1. Huang, J., Yan, X. F., Wang, C. J.*. Curiosity, Caution and Clarity: Exploring the Relationship Between Technology Awareness and Job Replacement Risk Perception on Weibo(writing manuscript)
2. Liu, Y., Huang, J., Wang, C. J.*. Mapping Causal Narratives in Political Discourse Using LLM. (writing manuscripts)
3. Huang, J., Wang, C. J.*. The Power of Mass Media: How Environmental Reporting Decrease Pollution Emissions in China.(under data analysis)

Grants

• Internal
  • Distinguished Postgraduate Talent Cultivation Program, School of Journalism and Communication, Nanjing University
    1. 2025-2027, 2025GYB16, PI, ¥6000
    2. 2025-2027, 2025GYA05, Participation, ¥8000

Awards

• The 6th Communication Data Mining Competition, Third Prize (Public opinion trend and influence prediction based on large language model)
• CAAI-BDSC2025 Social Computing Innovation Competition, Second Prize (Societal X)

Skills

• Writing: Chinese(native), English(skilled)
• Speaking: Mandarin(native), English(daily communication), Cantonese(daily communication)
• Computer language: Python(most frequently used), R, Stata, Matlab(a little), MySQL, C, Java, Verilog(have learned it, but almost have forgotten it 😋)
• Software: Photoshop, Premiere(a little), Gephi
• Cooking(HITSZ “厨神的诞生” cooking competition third prize, “宅家有味亦清欢” cooking competition first prize) & (I am sharing my menu here!)

Email/Github/Weibo