Zhanna Terechshenko
Zhanna Terechshenko was a Postdoctoral Fellow at NYU’s Center for Social Media and Politics. Terechshenko received her PhD in Political Science and Social Data Analytics from Pennsylvania State University. Her research interests are in machine learning and natural language processing, with an application to political and social information.
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Related Research & News
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Working Paper
Network Embedding Methods for Large Networks in Political Science
Working Paper, November 2021
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Report
Influential Users in the Common Core and Black Lives Matter Social Media Conversation
Continuing previous work, we find that politically motivated popular users have the most influence in online discussions around Black Lives Matter and Common Core State Standards.
December 16, 2020
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News
Text Classification Using a Transformer-Based Model
We're committed to supporting open and accessible science, which includes promoting the creation and use of open-source software, providing high-quality replication materials for our publications, and contributing to existing open-source tools and frameworks. To do so, we created an open-source tool to make using transformers easier and explain how to use it here.
December 8, 2020
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Working Paper
A Comparison of Methods in Political Science Text Classification: Transfer Learning Language Models for Politics
Working Paper, October 2020
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Report
Online Issue Politicization: How the Common Core and Black Lives Matter Discussions Evolved on Social Media
To better understand how an issue becomes politicized over time, we examine Black Lives Matter and Common Core State Standards and track how they evolved over time.
September 4, 2020
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Report
Debate Twitter: Mapping User Reactions to the 2020 Democratic Presidential Primary Debates
As the largest Democratic primary field in modern history continues to narrow, we wanted to examine how the debates drove the conversation online, and specifically how voters changed their opinions over time.
March 3, 2020