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Qinghao Guan

Qinghao Guan, MA

  • Assistent / Research and Teaching Assistant
Phone
+41 44 634 49 15
Room number
AND 3.57

Qinghao Guan joined the Computational Social and Communication Science division at IKMZ as a Research Assistant under the leadership of Prof. Dr. Jing Zeng in September of 2024. He studied Computational Linguistics with a minor in Neuroinformatics at the University of Zurich (from Feb. 2022). His research interests involve textual and visual content analysis on social media and information communication in Large Language Models.

Curriculum Vitae

Appointments

Mar. 2025   –  Present PhD Club organizer at IKMZ, University of Zurich, Switzerland
Feb. 2025  –  Present YECREA representative for the Digital Culture and Communication Section

Education

July. 2025 – Present

University of Zurich
PhD in Computational Communication Science

Feb. 2022 – Feb. 2025        

MA, University of Zurich
Computational Linguistics and Language Technology (Major)
Neuroinformatics (Minor)

Publications: Peer-reviewed Journal Articles

Zeng, J., Guan, Q., Matamoros-Fernández, A., & Liu, X. (2025). How do multi-modal large language models understand non-English visual hate? Insights from studying hate speech in Chinese-speaking communities on Instagram. Platforms & Society2https://doi.org/10.1177/29768624251383735

Guan, Q., & Han, Y. (2025). From AI to authorship: Exploring the use of LLM detection tools for calling on “originality” of students in academic environments. Innovations in Education and Teaching International, 62(5), 1514–1528. https://doi.org/10.1080/14703297.2025.2511062

Guan, Q., Mai, W., Qiu, Z., & Zuo, Y. (2025). Is time-restricted eating a healthy choice to lose weight? Investigating by qualitative analysis of Instagram posts and systematic reviews with meta-analysis. Digital health, 11. https://doi.org/10.1177/20552076251360911

Guan, Q. (2025). Mental Distress in English Posts from r/AmITheAsshole Subreddit Community with Language Models. Corpus-based Studies across Humanities, 3(1). doi: https://doi.org/10.1515/csh-2025-0006

Wu, G., & Guan, Q. (2024, September 9-12). Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection. Conference and Labs of the Evaluation Forum, Grenoble, France. https://ceur-ws.org/Vol-3740/paper-287.pdf

Chen, Y., Yuan, Y., Liu, P., Liu, D., Guan, Q., Guo, M., Peng, H., Liu, B., Li, Z., & Xiao, Y. (2024, February 20-27). Talk funny! A large-scale humor response dataset with chain-of-humor interpretation. In 38th Proceedings of the AAAI Conference on Artificial Intelligence, 38(16), 17826-17834. https://ojs.aaai.org/index.php/AAAI/article/view/29736

Guan, Q., & Lawi, M. N. (2024). An unsupervised learning study on international media responses bias to the war in Ukraine. Corpus-based Studies across Humanities. 1(1), 79-97. https://doi.org/10.1515/csh-2023-0010

 

Conference Presentation

Ma, J. & Guan Q. (2025). Context Matters in Human-machine Communication: Deciphering Sexual Orientation and Profession Bias in Arabic Machine Translation with LLMs. Paper presented at the 75th Annual Conference of the International Communication Association (ICA), 2025, Denver, USA.

Zeng, J., Guan, Q., Matamoros-Fernández, A., Liu, X. (2025). Bridging Cultural Gaps in Moderating Hate Speech: A Two-Stage Analysis Framework with Multimodal Large Language Models. Paper presented at COMPTEXT 2025, Vienna, Austria.