معرفی
Dr. Yangliu Fan serves as a researcher at the Division Digitalization and Participation within the Institute for Media and Communication Studies at Freie Universität Berlin, concurrently holding a postdoctoral position at the Weizenbaum Institute's Digital News Dynamics research group. Her work bridges computational methodologies with critical media analysis in digital society contexts.
Education:
- PhD in Social Data Science from Copenhagen Center for Social Data Science (SODAS), University of Copenhagen
Research Focus: Specializing in Computational Social Science and Digital Methods, Fan investigates political polarization, networked public spheres, and methodological transformations in journalism through social media data analysis. Her approach integrates Science Studies perspectives to examine how digital tools reshape scholarly communication and media ecosystems, with particular attention to interdisciplinary research structures and methodological adoption patterns.
Publication Trends: Recent works (2022-2025) reveal consistent exploration of digital methodology implementation across journalism and academic research. Key themes include interdisciplinary collaboration dynamics, career trajectory mapping in scholarly publishing, and critical assessment of digital tools' integration in traditional research domains – highlighting tensions between technological possibilities and disciplinary traditions.
Teaching Practice: Currently instructing advanced seminars on political polarization structures and cross-national networked public spheres during elections, directly translating her research expertise into graduate curriculum development focused on computational political communication analysis.
Institutional Engagement: Actively contributes to Freie Universität Berlin's Digitalization and Participation division and Weizenbaum Institute's Digital News Dynamics group, participating in DFG-funded projects on transnational competitive events and the Media for Peace initiative.
