Anonymity, privacy, and online risk/safety
How do anonymous and pseudonymous infrastructures change disclosure, trust, misinformation, social support, and user sustainability across dark-web and surface-web communities?
I study how communication infrastructures (re)shape knowledge, culture, and risk across digital platforms, anonymous communities, and large-scale historical corpora using computational methods.
Zhicong Chen
My work connects communication theory with computational methods to investigate how infrastructures enable participation, constrain visibility, reorganize social relationships, and shape collective understandings over time.
How do anonymous and pseudonymous infrastructures change disclosure, trust, misinformation, social support, and user sustainability across dark-web and surface-web communities?
How do platform architectures and communication environments influence behavior, emotion, exposure, deception, and public sense-making in political and health contexts?
How can multilingual and diachronic corpora reveal long-term shifts in cultural values, geopolitical narratives, ideology, and the meanings attached to social categories?
A selection of publications that represents the central empirical and methodological threads of my research programme.
My courses combine computational practice, substantive communication questions, critical interpretation, research ethics, and reproducible workflows.
I design courses that move from code comprehension to analytical judgment: students learn how data are produced, how models encode choices, how evidence should be communicated, and where computational conclusions can fail.
Mixed-method visual research with content analysis, machine learning, image features, clustering, and AI-assisted annotation.
R programming, data wrangling, visualization, modeling, web data, reproducible reporting, and responsible interpretation.
Social media data collection, text and network analysis, visualization, and ethical analytics with Python.
Principles and practice of visual analysis, statistical graphics, interactive communication, and the critical evaluation of data-driven claims.
Computational text analysis covering corpus construction, preprocessing, representation, supervised and unsupervised methods, and substantive interpretation.
Data acquisition, cleaning, analysis, visualization, and narrative design for evidence-based journalism and public communication.
Programming fundamentals, structured data, web data collection, text processing, automation, and reproducible research workflows.
Media data analysis and visualization across numeric, text, and visual data, with computational methods and predictive modeling.
My service spans peer review, conference evaluation, student supervision, research mentoring, thesis assessment, and scholarly knowledge exchange.
Reviewer for journals including New Media & Society, Humanities and Social Sciences Communications, Advances in Methods and Practices in Psychological Science, International Journal of Information Security, Journal of Computational Social Science, and Journal of Cross-Cultural Psychology.
Undergraduate thesis supervision and research mentoring across degree levels, including students who progressed to postgraduate study at Shanghai Jiao Tong University, UC Davis, UT Austin, and Michigan State University.
Participation in master’s and doctoral thesis committees, invited talks and guest lectures, computational workshops, and interdisciplinary research communities in communication and computational social science.