Columbia PhD Candidate in Political Science studying persuasion and the foundations of durable change in political beliefs and attitudes.
Joined May 2020
- Tweets 23
- Following 61
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Photos and videos
Mar 25
New paper w/ @YamilRVelez! A lot of great research on political microtargeting discounts personalization: tailored ads (using AI or not) rarely beat a single-best message. We define two types of microtargeting, clarify when tailoring matters, & showcase a novel audio-based design
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Mar 25
2. Though elites rarely buck their party, candidates with counter-stereotypical or ambiguous platforms on an issue that matters deeply to opposing party voters may gain from targeted appeals. (The 2016 Trump campaign supposedly sought to do just this.)
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Patrick Liu retweeted
Mar 12
1/ Will voters participate in the primary of a party they oppose to prevent the nomination of a candidate they fear?
In a new paper in AJPS with @HayleyCohen, we study crossover voting using surveys and a large field experiment (N=83,902) in the 2024 New Hampshire Republican presidential primary.
onlinelibrary.wiley.com/doi/…
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Patrick Liu retweeted
8 Apr 2025
After years of doubt, drafts, and disbelief, my first—and likely last—book is finally out. It’s about how entertainment media shapes American politics.
If you preorder (a.co/d/ctGUWkZ), I’d love to send a small token of thanks: forms.gle/1YrkYX2t2nPCTgRw7
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2 Apr 2025
🧵 Why do facts often change beliefs but not attitudes?
In a new WP with @YamilRVelez and Scott Clifford, we caution against interpreting this as rigidity or motivated reasoning. Often, the beliefs *relevant* to people's attitudes are not what researchers expect.
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2 Apr 2025
Across 2 studies, focal distal counterarguments reduced focal distal belief strength (respectively). But focal args had larger and more durable effects on downstream attitudes. We explore mechanisms in the paper, e.g., ppl recalled focal args better than distal args a week later.
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2 Apr 2025
Our study draws renewed attention to the distinction between beliefs and attitudes. It also showcases how LLMs can be used to peer into belief systems. We welcome any and all feedback!
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