Notebooks&Projects

Notebooks #

1. Notes on computational communication #

This is a computational communication science notebook based on learning materials from SICSS and Dr. Wang Chengjun’s online course on computational communication science.

I applied to the computational social science summer program made by SICSS in April 2022. Though they didn’t offer me the opportunity, I was allowed to have access to the materials. Many thanks to their generosity! Meanwhile, I encountered the GitBook (《计算传播学讲义》) made by Dr.Wang Chengjun in March 2022.

2. Notes on Advanced Statistics in R #

This is a statistics notebook based on RSCH8120: Advanced Statistics instructed by Dr. Kyle Cox at UNC Charlotte. I was taking his class during the semester of Fall 2023. The github repository provided my notes on the class and my submitted assignments. Notes covering: ANOVA, ANCOVA, Factorial ANOVA, Repeated ANOVA, Effect size and power, Assumptions, Correlation, Regression, Multiple regression, Logistic regression, SEM, MLM.


Projects #

1. Composition of and Collaboration Among Communication Scholars in Seventy Years of ICA Journals (1951-2022) #

Addressing whiteness in the composition and collaboration of communication scholars of ICA journals

Haley R Hatfield , Hongtao Hao , Jing Zhang , Matthew S Klein, Yijie Fu, Jaemin Kim, Jongmin Lee, Sun Joo (Grace) Ahn

The earlier version of this paper which deals with data from 2000 to 2022 was accepted by the 73rd International Communication Association (ICA) Conference in 2023.

2. Neighborhood Crime and Safety Discussions on Nextdoor #

  • The github repository, dataset, and document were hidden because this manuscript is under review.

Examining Public Emotions and Sentiments in Neighborhood Crime and Safety Discussions on Nextdoor

Jing Zhang , Di Zhang , Audrey Curry, Bianca Reisdorf

Tutorials #

1. COMM2100 with Kristen #

This is the class SI session website for my students enrolled in COMM2100 Introduction to Comm Theory at the University of North Carolina at Charlotte, 2023 Fall and 2024 Spring. During the sessions, I led discussions among students to reinforce the knowledge that students learned on lectures.

  • Class size: 125 students in 2023 Fall; 87 students in 2024 Spring.

Last modified on 2023-01-11