
Julia Mendelsohn
politics
social media
political communication
agenda-setting
computational social science
information warfare
framing
palm
generative ai
multilinguals
falcon
rumor stance
llm-generated data
topic modeling
abusive language
6
presentations
SHORT BIO
I'm a PhD candidate at the University of Michigan School of Information and supported by a Google PhD Fellowship. I completed my BA in Linguistics (2018) and MS in Computer Science (2019) at Stanford University. My research interests include natural language processing, political communication, and computational sociolinguistics. In particular, I am interested in developing computational methods to better understand (1) the framing of complex sociopolitical issues in social media, and the broader implications of these linguistic choices, (2) how people talk about other people, especially in the representations of marginalized communities, and (3) language variation and change in online communities of practice.
Presentations

Does Prompt Engineering Matter for LLM-based Toxicity and Rumor Stance Detection? Evidence from a Large-scale Experiment
Shubham Atreja and 4 other authors

Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media
Julia Mendelsohn and 3 other authors

From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models
Julia Mendelsohn and 3 other authors

Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
Julia Mendelsohn and 3 other authors

Modeling Framing in Immigration Discourse on Social Media
Julia Mendelsohn and 2 other authors

Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
Julia Mendelsohn and 3 other authors