This is a collection of past projects. I categorized them according to three topics: Master's thesis, Human-Technology Interactions, and Natural Language Processing.

In my master's thesis, I discuss bias in language model, especially in defining, measuring, and reducing bias in large language models.

• Based on the systematic literature review, I critically analyze current methods for measuring gender bias.

• Due to the fundamental conceptual conflation of bias, the result of existing measurement is misleading.

• I urge the importance of theoretical soundness of defining social construct as bias, by suggesting a framework that combines philosophical and computational perspectives on bias in language models.

I designed an empirical experiment to investigate algorithmic decision making in employment, especially in gig economy.

Lastly, I conducted various NLP projects in the field of computational social science.

• AI Hype discourse analysis

• Extremist gardeners: Intellectual Humility and far-right Extremists in Reddit

• Miscelleneous data science projects