Jisun An

Jisun An

Assistant Professor

Social Data and AI (SODA) Lab, School of Computing and Information Systems, Singapore Management University, Contact me at 'jisunan at smu dot edu dot sg'

Biography

Jisun An is an assistant professor at the School of Computing and Information Systems, Singapore Management University (SMU-SCIS). She is interested in doing data science in the area of journalism, politics, health, and computational social science. The research she does is highly interdisciplinary, which only can be achieved by combining theoretical foundations, computational methods such as NLP and machine learning, and massive computing capability.

Before joining SMU-SIS, she worked at Qatar Computing Research Institute, HBKU as a scientist. She received her Ph.D. in Computer Science from the University of Cambridge, UK in 2015. For her study, she was funded by EPSRC and she is now an honorable recipient of Google European Scholarship. She is an Associate Editor of EPJ Data Science jounnal and she has been a member of the PC of major computer science conferences and computational social science conferences, including ICWSM 2012-21, WWW 2016-21, ACL 2020-21, EMNLP 2021, SocInfo 2014-17/20, IC2S2 2016-21. She also has been organizing a workshop on News and Public Opinion (NECO) 2016-18, 20.

Find out more about our research and recent news at SODA (Social Data and AI) Lab!

Interests

  • Computational Social Science
  • Social Media Analysis
  • Natural Language Processing
  • Artificial Intelligence

News

  • New paper at PeerJ Computer Science!
  • I’m teaching a new course, Computataionl Social Science- Principles and Applications! :D
  • New paper at Social Science Computer Review
  • New paper at ICWSM'21!

Projects

Discursive Power in Contemporary Media Systems

In this project, we analyze interdependencies and power relationships among these new constellations.

Publications

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What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
Empirical Evaluation of Three Common Assumptions in Building Political Media Bias Datasets
A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017
FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding
Going beyond accuracy: estimating homophily in social networks using predictions
Persona Perception Scale: Development and Exploratory Validation of an Instrument for Evaluating Individuals’ Perceptions of Personas
Tanbih: Get To Know What You Are Reading
Political Discussions in Homogeneous and Cross-Cutting Communication Spaces
View, Like, Comment, Post: Analyzing User Engagement by Topic at 4 Levels across 5 Social Media Platforms for 53 News Organizations
Confusion Prediction from Eye-Tracking Data: Experiments with Machine Learning