AUTHOR_NAME

Zichen Wang

A Computer Science graduate student at the University of Rochester.

About Me

I am Zichen Wang, a Computer Science Master's student studying at the University of Rochester. Before pursuing my Master's degree, I graduated from the Purdue University with a Bacholar of Science degree in Computer Science, and worked as a Software Engineer for about 4 years. My research interests are Data Mining, Computational Social Science, and Generative Artificial Intelligence.

Education

University of Rochester

M.S. in Computer Science, September 2022 - Present

Purdue University, West Lafayette

B.S. in Computer Science, August 2014 - May 2018

Publications

Computational Assessment of Partisanship in News Titles

Hanjia Lyu*, Jinsheng Pan*, Zichen Wang*, Jiebo Luo

AAAI International Conference on Web and Social Media (ICWSM), 2024

We first adopt a human-guided machine learning framework to construct a new dataset for hyperpartisan news title detection with 2,200 manually labeled and 1.8 million machine-labeled titles that were posted from 2014 to 2022 by nine representative media organizations across three media bias groups - Left, Central, and Right. The fine-tuned transformer-based language model achieves an overall accuracy of 0.84 and an F1 score of 0.78 on the validation set. Next, we conduct a computational analysis to quantify the extent and dynamics of partisanship in news titles. While some aspects are as expected, our study reveals new or nuanced differences between the three media groups.

Bias or Diversity? Unraveling Semantic Discrepancy in U.S. News Headlines

Jinsheng Pan*, Weihong Qi*, Zichen Wang, Hanjia Lyu, Jiebo Luo

Workshop on News Media and Computational Journalism (MEDIATE), AAAI International Conference on Web and Social Media (ICWSM), 2023

In this study, we analyzed 1.8 million news headlines from major U.S. media outlets between 2014 and 2022 to examine the semantic discrepancy. Multiple correspondence analysis (MCA) was applied, quantifying the semantic discrepancy in domestic politics, economic issues, social issues, and foreign affairs. Additionally, we compare the most frequent n-grams in media headlines to provide further qualitative insights.

Experience

MarsWalk

Backend Developer (Internship), May 2023 - Jul 2023

StoreHub

Front-End Developer, August 2020 - May 2022

Trip.com Group

Software Engineer, September 2019 - August 2020

SonicWall Inc.

Associate Software Engineer, July 2018 - August 2019

Skills

Programming Languages

Python, JavaScript, TypeScript, HTML/CSS, C++, Java

Frameworks & Databases

Flask, LangChain, React.js, Redux, PyTorch, Gradio, Pandas, Redis, MySQL

Tools & Others

Docker, Azure, AWS, Git, Jenkins, Jira, Agile, Scrum, RESTful API design