Feifei Zhang

Ph.D. Candidate
221 Hinds Hall

Feifei Zhang is a member of the Association for Computing Machinery, International Communication Association, the National Communication Association, and the World Association for Public Opinion Research.


Feifei Zhang’s research interest is to investigate human beings’ use of information and communication technologies (ICTs), and their influence in facilitating and shaping people’s behaviors, especially in interpersonal and political contexts. Her first goal is to test whether new theories can be developed or existing relevant theories can evolve to explain new phenomena in the digitally mediated communication environment. Her second goal is to explore how theories can help design new technologies and features to improve social interaction, enable collaboration, enhance individuals’ life satisfaction, and facilitate political participation and civic engagement.

Feifei Zhang uses mixed research methods to collect, mine and analyze both online and offline data, primarily quantitative research methods and computational approaches, including content analysis, survey, text mining, natural language process and machine learning.


Google Scholar profile

  • Spring 2016 – IST 486 – Social Media in the Enterprise – Instructor
  • Fall 2015 – IST 486 – Social Media in the Enterprise – Instructor
  • Spring 2015 – IST 736 – Text Mining – Teaching Assistant
  • Fall 2014 – IST 565 – Data Mining – Teaching Assistant
  • Spring 2014 – IST 449 – Human-Computer Interaction – Teaching Assistant
  • Fall 2013 – IST 700 – IT Project Stakeholder Management – Teaching Assistant