yilin@iu-luddy: ~ home cv

$ whoami

Yilin Gong

PhD Student · Information Science · Luddy School, Indiana University Bloomington

advisor: Prof. Siqi Wu · previously: MS Data Science, University of Chicago

$ cat about.md

I study crowdsourced fact-checking and the governance of online information.

Current focus: a large-scale audit of X's Community Notes · contributor labor, topic coverage, and the effectiveness-fairness paradox.

Tools: Python · R · topic modeling · network analysis · mixed-effects models · LLMs.

Venues: ICWSM · AAAI · IC2S2.

$ ls papers/ --long

[2026]

The Effects of Request Alerts on the Diversity and Visibility of Community Notes

Request Alerts redirect existing contributor labor rather than generating new effort, with a quality-distance trade-off when writers venture outside their topic expertise.

Yilin Gong, Siqi Wu · in submission · [arxiv] [pdf] [code]

$ contact

yg24@iu.edu · [cv] · [scholar] · [github] · [linkedin]

$ cat cv.txt

yilin@iu-luddy: ~/cv home cv

$ cat cv.txt

[back] [download pdf]

Yilin Gong

PhD Student · Information Science · Luddy School, Indiana University Bloomington

yg24@iu.edu · [scholar] · [github] · [linkedin] · [home]

education

2025 – present

PhD, Information Science

Luddy School of Informatics, Computing, and Engineering · Indiana University Bloomington

Advisor: Prof. Siqi Wu. Focus: crowdsourced fact-checking, Community Notes, platform governance.

2022 – 2023

MS, Data Science

University of Chicago · GPA 3.87

Coursework: time-series forecasting, data mining, big-data platforms, marketing analytics, credit and insurance risk analytics, data engineering, data visualization.

2018 – 2021

BS, Information Science

University of Colorado Boulder · GPA 3.9 / 4.0

Minor in Creative Technology Design.

publications

2026

The Effects of Request Alerts on the Diversity and Visibility of Community Notes

Yilin Gong, Siqi Wu · in submission · [arxiv]

Request Alerts redirect existing contributor labor rather than generating new effort, with a quality-distance trade-off when writers venture outside their topic expertise.

research projects

May – Sep 2024

Dissemination and Online Influence of Films in the Advancement of Disability Rights

Northwestern University · with Hongjin Chen

Cross-cultural mixed-methods study across US and China (N = 770+). SPSS reliability testing (Cronbach's α, KMO) and factor analysis; LDA topic modeling on reviews from IMDb, Rotten Tomatoes, and Douban; Granger causality on Google Trends signals (0.8725 Pearson).

Feb – Dec 2023

Non-EDI Account Usage Prediction

University of Chicago · capstone with Power Kiosk

Random Forest + AdaBoost ensemble reaching 95% accuracy (30% gain over baseline). Built a Google Search API + Beautiful Soup pipeline that scraped ~10,000 company profiles for enterprise classification.

Sep – Dec 2022

Twitter Users Education Analysis

University of Chicago · big-data course project

Analyzed ~100M tweets (~500 GB) with PySpark on GCP. MinHash-based similarity to surface duplicate content across government, health, and media accounts.

Sep – Nov 2021

Data-Driven Investment Analysis

University of Colorado Boulder

Financial data on 1,000+ public companies; KMV credit-risk modeling to estimate default probabilities and shortlist potential targets.

experience

Feb 2024 – May 2025

Data Strategy & Operations Lead

Dope Film · Chicago

Built KPI dashboards, ran competitive analysis, and designed data-driven retention strategies for a platform connecting filmmakers and small businesses.

Jul – Sep 2023

Economic Researcher / Data Analyst

People's Bank of China · Wuhan, Hubei

Designed a mixed-methods study of interest-rate transmission; built a seasonally adjusted transmission model in R that informed end-of-year fiscal review. Contributed to a ~15% improvement in the bank's trend forecasts.

May – Jul 2023

Special Education Technology Volunteer

Aite Special Children's Inclusive Education · Wuhan

Participatory research with special-education practitioners. Led a team building an AI tool that converts teacher observations into parent-friendly progress reports.

Mar – Aug 2022

Litigation Support Analyst

Zenith American Solutions · Remote

Managed document-review databases (1 TB+) for 15+ legal teams; designed search strategies across 500K+ documents, cutting research time by ~35%.

awards

2021

Reilly News Ed Scholarship

University of Colorado Boulder

2020

Honor of Outstanding Performance

DIAN Insurance

skills

methods

Mixed-methods research, experimental design, survey design, statistical analysis, time-series analysis, mixed-effects models, Granger causality, factor analysis (Cronbach's α, KMO), topic modeling (BERTopic, LDA), network analysis, sentiment analysis.

programming

Python (Pandas, NumPy, scikit-learn, NLTK, statsmodels, Beautiful Soup), R, SQL, PySpark, Google Cloud Platform, Plotly, Matplotlib, Seaborn, SPSS.

ml / nlp

Random Forest, AdaBoost, cross-validation and hyperparameter tuning, LLM fine-tuning (BERT, TinyLlama), embedding-based retrieval and clustering (UMAP + HDBSCAN).

languages

English (professional), Mandarin Chinese (native).

$ cd ..