Wang Wanwen Amber
PhD student (FT)
- AG415
- +852 2766 5601
- amber-wanwen.wang@connect.polyu.hk
Biography
Chief Supervisor: Prof. Eric Friginal
Co-supervisor: Prof. Kathleen Ahrens
Academic and Professional Experience
- Research Assistant (FT), Department of English and Communication, Hong Kong Polytechnic University (2021-2023)
- Instructor/Project Assistant (PT), FH GEF Program, Hong Kong Polytechnic University, 2022-2023. Courses taught:
- Introduction to Phonology and Phonetics
- Multilingual Dictionaries
- Machine Translation
- Language and Social Media
- Multimodalities of Language
Research Interests
Publications
- Wang, W., & Ngai, J. (2023). “You look like my 14-year-old daughter” A corpus-based study of sexist language in everyday sexism Twitter stories. Journal of Language Aggression and Conflict. DOI: https://doi.org/10.1075/jlac.00090.wan
- Wang, W., Ahrens, K., & Jiang, M. (2023, May). Love relationships are catching fish: A corpus-based study on love relationship metaphors in Chinese social forums. Paper presented at the 16th Researching and Applying Metaphor Conference, Madrid, Spain.
- Wang, W., & Ahrens, K. (2023, May). “A ballet of white birds”: Metaphorical source domains of aircraft in airline Instagram posts. Paper presented at the 7th Talking Across the World & Business and Professional Communication in a Changing World, The Hong Kong Polytechnic University, Hong Kong.
- Wang, W., & Ye, M. (2022, June). Public comments on the Taliban: Topics and attitudes in the Weibo hashtags. Paper presented at the 17th Language and Social Psychology (ICLASP17), The Hong Kong Polytechnic University, Hong Kong.
- Wang, W. (2021, December). Media presentations of Afghan women under the Taliban regime in New York Times: A corpus-assisted multimodal discourse analysis. Paper presented at the 8th Appliable Linguistics and Appraisal Studies, Martin Centre for Applied Linguistics, Shanghai Jiao Tong University, Shanghai, China.
Others
- Student organizer, The 2023 Postgraduate Research Symposium on Linguistics and Language Data Analytics (PRSLA), The Hong Kong Polytechnic University, (December 5, 2023).