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Education

2018 - 2023

Ph.D. in Communication
The Ohio State University
Graduate interdisciplinary specialization: Quantitative Research Methods

Advisors: Profs. Zheng Joyce Wang, Robert Bond

2014 - 2016

M.S. in Communication
North Carolina State University

Advisor: Prof. Andrew Binder

2013 - 2014

M.A. in Communication and New Media
City University of Hong Kong

GPA: 3.82/4.00 with Distinction

2009 - 2013

B.A. in Advertising
Tianjin Foreign Studies University

GPA: 92/100 or 4.2/5 (ranked 1st among 46 students)

Journal Articles

Li, Y., & Bond, R. M. (2022). Evidence of the persistence and consistency of social signatures. Applied Network Science, 7(1), 1–19. https://doi.org/10.1007/s41109-022-00448-0

Li. Y., & Bond, R. M. (2022). Examining semantic (dis)similarity in news through news organizations' ideological similarity, similarity in truthfulness, and public engagement on social media: A network approach. Human Communication Research. https://doi.org/10.1093/hcr/hqac020

Li, Y., Wang, Z., & Li, Q. (2022). Presidential communication and partisan responses during the COVID-19 pandemic: A longitudinal examination. Human Communication Research. (second round of revise and resubmit)

Li, Y., Gee, W., Jin, K., & Bond, R.M. (2022). How do vaccine proponents and opponents interact with each other on social media? Examining selective exposure, language coordination, and analytical thinking in online conversations about vaccines. Journal of Medical Internet Research. (under review)

Conference Papers

Li, Y., Wang, Z., Redbird, B., Lumpkin, R., Archit, D., Yang, K., & Cirtwill, P. (2022). The Partisan Divide and the Pandemic: “Bias” in Media Coverage, Media Selection, and Media Processing. Paper presented at the 2022 72nd annual convention of International Communication Association (ICA), Paris, France.

Wang, Z., Li, Y., & Li, Q. (2021, May). White House Communication and Its Impact on the Public during the Pandemic. Paper presented at the 2021 71th annual convention of International Communication Association (ICA), virtual online due to COVID-19.

Li, Y. (2016, November). How do People with an Interdependent Cultural Background Show Optimistic Bias? Exploring Optimistic Bias about Polluted Haze among Residents of Two Chinese Cities. Paper presented at the 2016 102nd annual convention of National Communication Association (NCA), Philadelphia, PA.

Li, Y. (2015, April). Predicting Chinese Individuals’ Intention to Have a Second Child: A Study Combining Social Norms Theory and the Theory of Reasoned Action. Paper presented at the 2015 106th annual convention of Eastern Communication Association (ECA), Philadelphia, PA.

Teaching Experience

Instructor of Record

COMM 3628 Contemporary Persuasion Theory
SP22, OSU

SEI: NA

COMM 2367 Persuasive Communication
SP22, OSU

SEI: 4.41/5.0

COMM 3163 Industry Research Methods
AU21, OSU

SEI: 4.67/5.0 (Section 1), 4.39/5.0 (Section 2)

COMM 3444 Advertising and Society 
SU21, OSU

SEI: 4.51/5.0

COMM 3444 Communication Research Methods
SP21, OSU

SEI: 4.71/5.0 (Section 1), 4.54/5.0 (Section 2)

COM 110 Public Speaking 
AU15, NCSU

SEI: NA

Teaching Assistant

COMM 2540 Introduction to Communication Technologies 
AU20, OSU

COMM 3444 Advertising and Society 
SP20, OSU

COMM 2331 Strategic Communication Principles
SP20, OSU

COM 257 Media History and Technology
SP15, OSU

COM 230 Introduction to Communication Theory
AU14, OSU

Professional Experience

11/2016 - 05/2018

Research Executive
Kantar Millward Brown (WPP Group), Shanghai, China

  • Conducted research on advertising effectiveness, commercial campaign evaluation, and brand health tracking.

  • Followed up each research project from research proposal to data analysis and final report. 

  • Served international and local brands, such as L'Oréal, Nescafé, Pizza Hut, Yili, etc.

Skills & Expertise

  • I am highly experienced in applying social network analysis, natural language processing, and machine learning to conduct "theory-led data-driven" research in communication and social science in general. 

  • I am proficient in R and Python. I also have experience using other statistical software, including STATA, SAS, MPlus, and SPSS.

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