This research project has received nomination to Sigma Xi Scientific Research Honor Society upon graduation.
DS 350 Spring 2025 [Research on Beauty Brands & Influencers]:
Below are the relevant code files:
- TikTok_beautytok_final.ipynb
- TikTok_metadatal.ipynb
The data collected for this research is not included in this repository, as it is not intended for public distribution.
In the recent years, we have seen a rise in more brands utilizing TikTok as a marketing platform, especially in the beauty industry to target Gen Z consumers and reach a wider audience. Some studies have conducted on this marketing strategy between brands and influencers, but not much has been done computationally in large scale to understand the relationship between the two parties.
DS 350 Fall 2024 [Research on Tradwives]:
This was my original Cred Lab research topic in Fall 2024. The following code file can be viewed here: https://colab.research.google.com/drive/1QI5TYSQYhe6YuGp8I1Fi8u8i-nlqSu4y?usp=sharing.
- Used Detectron2 by Meta, CLIP (Contrastive Language-Image Pre-training) by OpenAI, and Vertex AI
The concept of “tradwives,” short for traditional wives, has recently gained a large traction on TikTok, where curated videos showcasing idealized, and often unattainable, portrayals of motherhood dominate For You Pages. These portrayals frequently reinforce unrealistic expectations for mothers who do not conform to the privileged and romanticized image presented. Some possible factors that contribute to the appeal of these videos is the meticulously crafted aesthetic of their homes, coupled with distinctive fashion choices that often deviate from mainstream trends among younger women.