Papers by Ceren Budak

2 papers
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models (2025.acl-long)

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Challenge: a computational approach to measure metaphorical language is based on immigration discourse on social media.
Approach: They propose a computational approach that leverages word-level and document-level signals to measure metaphor with respect to immigration discourse on social media.
Outcome: The proposed method measures metaphorical language in immigration discourse on social media.
Modeling Framing in Immigration Discourse on Social Media (2021.naacl-main)

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Challenge: Using a dataset of immigration-related tweets, we examine how ordinary people on social media frame political issues.
Approach: They propose to use a dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory to analyze framers.
Outcome: The proposed model enables comparisons between different types of frames on social media and a dataset of immigration-related tweets.

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