Pronouns: she/her

Assistant Professor

Department of Information Science

Drexel University


Office: #1120, 3675 Market St

Email: shadi.rezapour at drexel.edu

Twitter: @shadi_rezapour

Meeting Request: Online

CV | Google Scholar | LinkedIn


I am an Assistant Professor in the Department of Information Science at Drexel's College of Computing and Informatics. My research interests lie at the intersection of Computational Social Science and Natural Language Processing (NLP). More specifically, I am interested in bringing computational models and social science theories together, to analyze texts and better understand and explain real-world behaviors, attitudes, and cultures. My research goal is to develop "socially-aware" NLP models that bring social and cultural contexts in analyzing (human) language to better capture attributes, such as social identities, stances, morals, and power from language, and understand real-world communication.

I completed my Ph.D. in Information Sciences at University of Illinois at Urbana-Champaign (UIUC) where I was advised by Dr. Jana Diesner.

I’m actively recruiting highly motivated students who are excited about working at the intersection of Computational Social Science, Natural Language Processing, Network Analysis, and Machine Learning. Students with both social and computational perspectives are particularly encouraged to apply. Find more details and instructions here.


A sample of research topics that I am especially interested in at the moment:

  • analysis of polarized viewpoints on social media (i.e., cross-cutting exposures)

  • extracting and investigating the long-term impact of information products on people and societies

  • leveraging user-generated texts and images to analyze people's moral perceptions and viewpoints

  • summarization of scientific articles

  • structural balance and stability in social networks

  • linguistic properties of online social movements

research interests: computational social science, natural language processing, human-centered data science, machine learning, social network analysis, digital humanities, social computing

Most Recent News:

  • July 2021: I defended my Ph.D. I will join the College of Computing and Informatics at Drexel University this Fall as an Assistant Professor

  • July 2021: Our paper "Incorporating the Measurement of Moral Foundations Theory into Analyzing Stances on Controversial Topics" is accepted to HyperText 2021

  • June 2021: I will attend the Summer Institute in Computational Social Science Chicago

  • May 2021: Our tutorials "PyNetworkshop: Analyzing the Structure of Networks in Python - The Essentials, Signed Networks, and Network Optimization" is accepted to the Networks 2021 and IC2S2 conferences

  • January 2021: Our work "Detecting Non-Topical Content in Podcasts" is accepted to EACL 2021

  • December 2020: Our tutorials "PyNetworkshop: Analyzing the Structure of Networks in Python - The Essentials, Signed Networks, and Network Optimization" and "Information extraction from social media: A hands-on tutorial on tasks, data, & open source tools" are accepted to the WebConf 2021

  • October 2020: I presented my research at the Second Consortium For Data Scientists in Training at the Michigan Institute for Data Science

  • October 2020: Our work "A domain-knowledge-based approach for extracting socio-environmental outcomes from project reports" is accepted to METRICS workshop at ASIS&T

  • October 2020: Our work "Which group do you belong to? Sentiment-based PageRank to measure formal and informal influence of nodes in networks" is accepted to Complex Networks

  • October 2020: Our work "100,000 Podcasts: A Large-Scale spoken English document corpus" is accepted to COLING

Previous Announcements

  • October 2020: Our paper "An empirical methodology for detecting and prioritizing needs during crisis events" is accepted to EMNLP findings

  • September 2020: Honored to receive the NCWIT/Bloomberg grant to attend the Grace Hopper Celebration.

  • August 2020: Our paper "Multilevel structural evaluation of signed directed social networks based on balance theory" is accepted by Scientific Reports: https://www.nature.com/articles/s41598-020-71838-6

  • August 2020: I will attend the ASIS&T Doctoral Colloquium in October 2020.

  • July 2020: I will attend the CSCW Doctoral Consortium in October 2020.

  • June 2020: I am going to work at Spotify Research this summer as a research scientist intern, I'll work with the Language Technologies Lab.

  • May 2020: We have four extended abstracts accepted to IC2S2

  • February 2020: Our paper "Beyond Citation: Corpus-based Methods for Assessing the Impact of Research Outcomes on Society" has been accepted to @lrec2020

  • December 2019: Organizing the 2nd Workshop on Computational Impact Detection from Text Data @ LREC 2020; due: February 20th, 2020

  • December 2019: Organizing the first student poster session at WIDS UIUC , March 6 2020, NCSA

  • November 2019: I will be attending CSCW to present our work on morality and social movements

  • October 2019: I will attend GHC to present a poster at ACM SRC

  • August 2019: Our extended abstract on social movements and morality is accepted in CSCW 2019

  • June 2019: Going to NAACL 2019 to present our paper on morality and social effects

  • May 2019: My poster is accepted at GHC 2019 for the ACM Student Research Competition

  • April 2019: I am going to present our paper "Enhancing the measurement of social effects by capturing morality" at the Midwest Speech and Language Days

  • March 2019: Our work "Enhancing the measurement of social effects by capturing morality" is accepted in WASSA workshop co-located with NAACL 2019

  • March 2019: Our abstract has been accepted for the 2019 Sunbelt Conference in Montréal