Research Interests

Computational communication, social computing, and HCI

Skills

Software: Tableau (Tableau Desktop Specialist Certificates), SPSS, Adobe Photoshop/ Premiere/Illustrator, Final Cut Pro

Programming: Python, R, Java, HTML, CSS, JavaScript, SQL, LaTeX

Analysis Skills: Quantitative analysis (surveys, analytics) and Qualitative analysis (interviews, thematic analysis, critical theory)

Languages: English (Fluent), Mandarin (Native), Cantonese(Intermediate)

Contact Details

Email: zhaominzhumindy@gmail.com

Education

University College London

Knowledge, Information, and Data Science 2022 - 2023

● Thesis: Misogyny on TikTok: Content, Sentiment and Visual Representations (Advisor: Dr. Kaitlyn Regehr)

Hong Kong Baptist University

Data and Media Communication 2018 - 2022

● Thesis: Examining the Resurgence of Misinformation Through Fact-checking Reports: The Topical and Temporal Patterns (Advisor: Dr. Xinzhi Zhang)

Research

Social Media and Online Community Research

Dept. of Computer Science, City University of Hong Kong

Research Assistant Jun 2022 - Present

Supervisors: Dr. Zhicong Lu & Dr. Bo Wen & Dr. Yaxing Yao

Investigated four topics related to social media:

  • Short-form fact-checking videos
  • Resilience of Stay-at-Home Moms(SAHMs) returning to the workplace (collaboration)
  • Promotion of Chinese Intangible Cultural Heritage (ICH) on TikTok (collaboration)
  • Online discourse on unintended pregnancy (collaboration)
  • Executed qualitative content analysis, employing both inductive analysis, with open coding and thematic analysis; and deductive analysis, connecting critical theory or based on other prior works to design initial codebook;

    Organized and implemented in-depth interviews to investigate users’ perception

    Misogyny on TikTok

    Dept. of Information Studies, University College London

    Student Research Assistant May 2023 – Present

    Supervisors: Dr. Kaitlyn Regehr

    Devised and implemented an archetype modeling method to effectively trigger TikTok's algorithm for video data collection; successfully retrieved deeply buried misogynistic videos

    Proposed the mixed analytical approach to qualitatively and quantitatively investigate the prevalence of sexism on TikTok, integrating content analysis and Natural Langugae Processing(NLP) methods, including words co-occurrence network and sentiment analysis

    Revlealed implicit misogyny cues on TikTok, including usage of visual elements and humor in storytelling

    AI-supported Misinformation Research Group

    Journalism Department, Hong Kong Baptist University

    Student Research Assistant Dec 2020 - Mar 2021 & Jun 2021 – Present

    Supervisor: Dr. Lan Liang & Prof. Céline Yunya SONG

    Coding and codebook improvement, explore and analyze Cantonese fake news dataset using natural language skills such as Latent Dirichlet allocation model, build Cantonese fake news detector using machine learning, and help visualize the attention map of fake news detector

    Human-computer interaction education Project

    Dept. of Computer Science, Hong Kong Baptist University

    Student Research Assistant Dec 2021 - Jan 2022

    Supervisor: Dr. Yucheng Jin

    Studied how intergenerational service-learning project impacted on HCI education employing statistical analysis for pre-post surveys;

    Organized interviews and conducted thematic content analysis to present the benefits and challenges

    Examining Resurgence of Misinformation

    Dept. of Journalism, Hong Kong Baptist University

    Student Thesis Dec 2021 - May 2022

    Supervisor: Dr. Xinzhi Zhang

    Analyzed over 3,000 fact-checking reports from three fact-checking agencies to identify the misinformation resurgence patterns, collecting data using web scraping in Python

    Utilized unsupervised topic modeling, sentence embedding, text similarity, and qualitative analysis to present temporal and topical resurgence patterns

    STEM Education in Hong Kong

    Dept. of Computer Science, Hong Kong Baptist University

    Student Research Assistant Jun 2021 - Sep 2021

    Supervisor: Dr. LAI, Jean Hok Yin

    Conducted literature review for visual STEM education; designed and implemented survey to investigate effect of visual programming in Hong Kong

    Wrote the proposal for a STEM visual learning research, including schedule designs, etc.

    Face Mask Detection Research Project (Group work)

    Remote Student Researcher May 2021 - Sep 2021

    Cooperated to improve the Faster R-CNN model's detection accuracy based on a face mask dataset by adding multi-size small anchors on the last feature map and penalizing IoU

    Improved small object detection precision by 4.262% and increased the average precision by 3.774% in the task

    Work

    Hong Kong Baptist University

    Teaching Assistant January 2020 - May 2020 | January 2021 - May 2021

    Supervisor: Mr. HU, Pili

    Worked as the teaching assistant of the postgraduate course ECON7910 “Data Visualization with Story-telling” course which used Tableau and Tableau Prep. Helped preparation, troubleshooting, and problem-solving.

    Pwords- Official Account on WeChat

    Writer & Operator June 2019 - Feb 2021

    Supervisor: Mr. HU, Pili

    Wrote and published 46 articles, which weekly roundup news across the data and analytics industry, data analytical tools and datasets

    Fourteen articles were published by ThePaper.cn, reaching 100,000 views, referring here.

    Financial Times Chinese

    Trainee Data Journalist May 2020 - Dec 2020

    Supervisor: Mrs. Silva Shih

    Produced 29 weekly issues of FTChinese.com's data journalism column to roundup the global fiancial through related to data and cart, conducting data collection, analysis, and visualization.

    Wrote an independent news story on the challenges faced by Chinese university students during the COVID-19, referring here.

    Projects

    As a data journalism graduate, I have some experience on data journalism. Some projects are as followed.

    Burnout in Dachang - ex-interns' POVs on the Chinese Big Techs

    ● Winner- Newspaper Award held by China Daily Asia (English Data Journalism Category)

    Group project for JOUR4046 Integrated Data-driven Storytelling, interviewing ex-interns who have worked in "Dachang", China’s most well-known tech giants, including ByteDance, Alibaba, Tencent, Pinduoduo, NetEase, etc.

    The Dark Line Behind Live Pet Trading

    Group investigation journalism project for course JOUR3155 Investigative Reporting for Data and Media Communication, investigating the dark line behind live pet trading in Chinese e-commerce

    Autism Students in Hong Kong

    Group project for JOUR2106 Data Visulazation , focusing on autism students in Hong Kong, cooperating with Non-profit organisations in Hong Kong, including TREATS 親切, and Wong Tai Sin Caritas 明愛賽馬會黃大仙青少年綜合服務.

    P words- Weekly Issue

    Helped to write a weekly column for P words (a Public Wechat Account, Chinese name: P话) for more than one year and published 46 articles in total. The project is a weekly issue to roundup industrial news, tools, datasets related to data.

    Some projects: "高考选专业:一件怎么做都会后悔的事情", "数据周报之美国大选", "数据周报之美国大规模抗议事件", "套路集锦: 新冠疫情可视化"

    • If obstacles are larger, jump higher.

      Steve Backley
    • Fight for the things that you care about, but do it in a way that will lead others to join you.

      Ruth Bader Ginsburg