Julie Jiang

Hi! My name is Julie and I am a fourth-year PhD candidate in computer science at the University of Southern California (USC), Information Sciences Institute (ISI), advised by Dr. Emilio Ferrara. I am also part of the Annenberg Game Lab. Broadly speaking, I am interested in learning about people—how user preferences, social cues, and external contextual factors influence and drive user behavior—in online settings such as social media and multiplayer games. I have had the pleasure to intern at TikTok/ByteDance, Snap Research, Google, and Bose, and I'm honored to have received the Snap Fellowship in 2022. Prior to USC, I obtained my B.S. from Tufts University in 2019, where I double-majored in CS and Math.

Outside of work/school, I love playing the piano :)

Looking for full-time industry opportunities starting summer 2024.

* indicates equal contribution

• Retweet-BERT: Characterizing Echo Chambers by Leveraging Language Features and Information Diffusion in Social Media
  

  Julie Jiang, Xiang Ren, and Emilio Ferrara
  To appear at the 17th International AAAI Conference on Web and Social Media (ICWSM), 2023.
  Preprint

• Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers
  

  Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, and Francesco Barbieri
  Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.
  Paper

• The Gift That Keeps on Giving: Generosity is Contagious in Multiplayer Online Games
  

  Alexander J. Bisberg*, Julie Jiang*, Yilei Zeng, Emily Chen, and Emilio Ferrara
  Proceedings of the ACM on Human-Computer Interaction, CSCW2 (PACM HCI), 2022.
  Paper arXiv

• Sunshine with a Chance of Smiles: Weather Impacts Expressed Sentiment on Social Media
  

  Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, and Francesco Barbieri
  The 16th International AAAI Conference on Web and Social Media (ICWSM), 2022.
  Paper

• Social Media Polarization and Echo Chambers: A Case Study of COVID-19
  

  Julie Jiang, Xiang Ren, and Emilio Ferrara
  JMIRx Med, 2021.
  Paper

• The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games
  

  Julie Jiang, Danaja Maldeniya, Kristina Lerman, and Emilio Ferrara
  Proceedings of the ACM on Human-Computer Interaction, CSCW (PACM HCI), 2021.
  Paper Video

• Political Polarization Drives Online Conversations About COVID-19 in the United States
  

  Julie Jiang, Emily Chen, Shen Yan, Kristina Lerman, and Emilio Ferrara
  Human Behavior and Emerging Technologies, 2020
  Paper Media Coverage

• Zero-Shot Meta-Learning for Small-Scale Data from Human Subjects
  

  Julie Jiang, Kristina Lerman, and Emilio Ferrara
  To appear at The 11th IEEE International Conference on Healthcare Informatics (ICHI), 2023.
  Preprint

• What are Your Pronouns? Examining Gender Pronoun Usage on Twitter
  

  Julie Jiang, Emily Chen, Luca Luceri, Goran Murić, Francesco Pierri, Ho-Chun Herbert Chang, and Emilio Ferrara
  To appear at The 17th International AAAI Conference on Web and Social Media (ICWSM ’23), Workshop on the Data for the Wellbeing of the Most Vulnerable.
  Preprint

• Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter
  

  Julie Jiang, Jesse Thomason, Francesco Barbieri, and Emilio Ferrara
  The 15th ACM Web Science Conference (WebSci), 2023.
  Paper

• Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale
  

  Emily Chen*, Julie Jiang*, Ho-Chun Herbert Chang, Goran Muric, and Emilio Ferrara
  JMIR Infodemiology, 2022.
  Paper

• Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game.
  

  Yuzi He, Christopher Tran, Julie Jiang, Keith Burghadt, Emilio Ferrara, Elena Zheleva, and Kristina Lerman
  The 16th International Conference on the Foundations of Digital Games (FDG), 2021.
  Paper

• Individualized Context-Aware Embeddings for Online Games Predictions
  

  Julie Jiang, Kristina Lerman, and Emilio Ferrara
  The 20th IEEE International Conference on Data Mining (ICDM), Workshop on High Dimensional Data Mining, 2020.
  Paper arXiv

• Learning Graph Representations of Biochemical Networks and Its Application to Enzymatic Link Prediction
  

  Julie Jiang, Li-Ping Liu, and Soha Hassoun
  Bioinformatics, 2021
  Paper Code

• Sunshine with a Chance of Smiles: Weather Impacts Expressed Sentiment on Social Media
  Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri.
  2022 International Society for Research on Emotion (ISRE), oral presentation.
  Slides

• Ageism in Traffic Policing
  

  Emiliy Chen*, Julie Jiang*, Fred Morstatter, Kristina Lerman, and Emilio Ferrara
  The 6th International Conference on Computational Social Science (IC2S2), 2020, oral presentation.
  Extended Abstract

• Enzymatic Link Prediction for Biochemical Route Synthesis
  

  Julie Jiang, Li-Ping Liu, Soha Hassoun
  2020 MIT AI Powered Drug Discovery and Manufacturing (AIDM), poster presentation.
  Poster

• Predicting Reactions for Biochemical Networks Using Graph Embeddings
  

  Julie Jiang, Li-Ping Liu, Soha Hassoun
  2019 Machine Learning in Computation Biology (MLCB), poster presentation.
  Poster

University of Southern California

• CSCI591 CS Research Colloquium
  

  Teaching Assistant
  Fall 2022, Spring 2023

Tufts University

• COMP11 Intro to Computer Science
  

  Teaching Fellow (Head Teaching Assistant)
  Spring 2018, Fall 2018, and Spring 2019

• COMP105 Programming Languages
  

  Teaching Assistant
  Spring 2018

• COMP15 Data Structures
  

  Teaching Assistant
  Spring 2017 and Fall 2017

• Image Segmentation with Graph Cuts
  

  A fun class project back when I was an undergrad at Tufts University that surprisingly has 21 stars on github now!
  Write-up Github