Mindy Minzhu Zhao
Hi👋! I am Mindy, Minzhu Zhao, a first-year Ph.D. student from Grouplens Research Center at the University of Minnesota. I am luckily advised by Prof. Lana Yarosh.
My previous experience mainly focuses on social media and online communities, particularly on online harmful content (e.g. misinformation, misogyny). My research interest is on the intersection between society and technology, particularly the equitable, ethical and empathetic technology or digital platform for vulnerable groups.
2024.09 — Joined GroupLens as a Ph.D. student, advised by Professor Lana Yarosh
2023.06 — Joined DEER Lab as Research Assistant, advised by Professor Zhicong Lu
2023.09 — Received M.S. in Knowledge, Information, and Data Science from University College London, advised by Professor Kaitlyn Regehr
2022.06 — Received B.S. in Journalism (Data and Media Communication concentration) from Hong Kong Baptist University, advised by Professor Yucheng Jin
Publications
Wang, H., Zhao, M., Hu, W., Ma, Y., & Lu, Z. (2024). Critical Heritage Studies as a Lens to Understand Short Video Sharing of Intangible Cultural Heritage on Douyin. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-21). Association for Computing Machinery. https://doi.org/10.1145/3613904.3642138
Regehr, K., Shaughnessy, C., Zhao, M., & Shaughnessy, N. (2024). Safter scrolling: How algorithms popularise and gamify online hate and misogyny for young people. published by UCL IOE, University of Kent, and Association of School and College Leaders. report link
Lin, Z. H., Wang, Z., Zhao, M., Song, Y., & Lan, L. (2022). An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6766-6768). IEEE.https://doi.org/10.1109/BigData55660.2022.10020949
Li, G., Wang, Z., Zhao, M., Song, Y., & Lan, L. (2022). Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6763-6765). IEEE. https://doi.org/10.1109/BigData55660.2022.10020704
Wang, Z., Zhao, M., Chen, Y., Song, Y., & Lan, L. (2021). A study of cantonese covid-19 fake news detection on social media. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 6052-6054). IEEE.