UROP Research Mentor Project Submission Portal: Submission #1323
Submission information
Submission Number: 1323
Submission ID: 21211
Submission UUID: 5eaa2e2c-e4b9-46d1-ad30-1cc72e236479
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=TtTE8PgRKLdIQ1BD-tbX0Z_dfm147GxWmVYuXzkTvLo
Created: Fri, 08/22/2025 - 02:20 PM
Completed: Fri, 08/22/2025 - 02:21 PM
Changed: Tue, 09/02/2025 - 05:16 PM
Remote IP address: 144.174.212.6
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Marli Dunietz
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Graduate Student
Jens Grosser
Social Sciences and Public Policy
Political Science
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Additional Research Mentor(s)
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Overall Project Details
Political discussion and information transmission under social pressure
behavioral economics, social norms, self-censorship, public opinion
Yes
2
Economics, political science, computer science
On FSU Main Campus
No, the project is remote
Partially Remote
8-10
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
When citizens discuss their views on public policy with one another, they may not always be forthcoming about what they really think. Their willingness to speak up sincerely can depend on whether they believe others will agree and how they believe others will react (that is, will they be rewarded, punished, or neither?) At the same time, citizens tuning into the public conversation may try to "correct" for these distortions -- but we don't know much about how they do this. For instance, to what extent to they think others are merely trying to be politically correct? Do they think someone who didn't participate has no opinion, is hiding an unpopular opinion, or are they invisible? Mistakes of inference can happen on both sides, which can lead to falsely believing that the public is much more divided than it truly is, or that people agree much more than they truly do.
This project applies the tools of behavioral and experimental economics to investigate how social norms and social incentives influence what opinions people share, how other people interpret what they hear, and what we can do to help citizens learn about public opinion more accurately. The research assistant(s) will join an ongoing project in which ordinary citizens from around the US discuss public policy proposals and try to learn where others stand. In particular, we will explore the costs and benefits of encouraging highly personal styles of communication and more impersonal language, and how this affects perceptions of extremity and polarization.
This project applies the tools of behavioral and experimental economics to investigate how social norms and social incentives influence what opinions people share, how other people interpret what they hear, and what we can do to help citizens learn about public opinion more accurately. The research assistant(s) will join an ongoing project in which ordinary citizens from around the US discuss public policy proposals and try to learn where others stand. In particular, we will explore the costs and benefits of encouraging highly personal styles of communication and more impersonal language, and how this affects perceptions of extremity and polarization.
The research assistant(s) will assist in analyzing data from group discussion experiments (text and/or quantitative). This will involve:
1) Reading the written (text) communication between study participants, and processing the text data into quantitative data that will then be analyzed using statistical methods.
2) Using LLMs (e.g. ChatGPT) to parse the text data and analyze the quality of arguments, similarity of arguments, emotional content of arguments
1) Reading the written (text) communication between study participants, and processing the text data into quantitative data that will then be analyzed using statistical methods.
2) Using LLMs (e.g. ChatGPT) to parse the text data and analyze the quality of arguments, similarity of arguments, emotional content of arguments
Required:
- native/fluent English language
- interest in American politics
- organization and motivation
- courage to ask questions and make mistakes
Recommended:
- familiarity with social science research methods
- familiarity with LLMs/AI
Ideal but not necessary:
- human subjects research ethics training (CITI certification)
- familiarity with coding in R and/or Python
- familiarity with text-as-data/natural language processing methods
- native/fluent English language
- interest in American politics
- organization and motivation
- courage to ask questions and make mistakes
Recommended:
- familiarity with social science research methods
- familiarity with LLMs/AI
Ideal but not necessary:
- human subjects research ethics training (CITI certification)
- familiarity with coding in R and/or Python
- familiarity with text-as-data/natural language processing methods
While a few undergraduates who get involved in research come with a wealth of research experience and a list of goals in hand, others may be unsure what's possible to get out of a research apprenticeship. In my view, a mentor's role is to meet the mentee where they are, to guide the mentee to make, set, and accomplish their research goals, and to discover their potential as a member of a research team and as an independent researcher.
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Yes
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- Day: Tuesday, September 2
Start Time: 4:00
End Time: 4:30
Zoom Link: https://fsu.zoom.us/j/8311863175?omn=95439238945 - Day: Thursday, September 4
Start Time: 2:30
End Time: 3:00
Zoom Link: https://fsu.zoom.us/j/8311863175?omn=99074144140 - Day: Wednesday, September 3
Start Time: 2:00
End Time: 2:30
Zoom Link: https://fsu.zoom.us/j/8311863175?omn=95439238945
UROP Program Elements
Yes
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Yes
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2025
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