Kramer, Lily and Scioscia, Catherine J.
(2023)
Evidence-Based Commentary
on Federal Election Commission Rulemaking.
In: Undergraduate research collaborative.
Abstract
A University of Pittsburgh undergraduate student research collaborative generated evidence-based commentary on the Federal Election Commission's (FEC) rulemaking process. The U.S. FEC had called for public comments on a petition by Public Citizen concerning deliberately deceptive AI campaign advertisements. This report contains individual student responses developed as part of an assignment in the "Evidence" course at the university. The assignment delved into the intricacies of deepfake AI in political campaign advertising. A unique approach was employed using the Instructional AI platform Packback and the OpenAI tool ChatGPT-4, to facilitate discussions and distill student responses. An "adjacent curriculum" option invited students to voluntarily write public comments in lieu of a midterm examination. Some finalized student comments were eventually submitted to the FEC for official consideration and compiled into a report archived in D-Scholarship, the University of Pittsburgh's digital repository.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
Conference or Workshop Item
(Paper)
|
Status: |
Published |
Creators/Authors: |
|
Contributors: |
Contribution | Contributors Name | Email | Pitt Username | ORCID |
---|
UNSPECIFIED | Barbiero, Alex | ACB159@pitt.edu | ACB159 | UNSPECIFIED | UNSPECIFIED | Chranya, Komal | KKC29@pitt.edu | KKC29 | UNSPECIFIED | UNSPECIFIED | Clark, Alexa | AMC393@pitt.edu | AMC393 | UNSPECIFIED | UNSPECIFIED | Farina, Natalie | NGF10@pitt.edu | NGF10 | UNSPECIFIED | UNSPECIFIED | Filar, Morgan | MOF36@pitt.edu | MOF36 | UNSPECIFIED | UNSPECIFIED | Hendricks, Austin | ATH45@pitt.edu | ATH45 | UNSPECIFIED | UNSPECIFIED | Kahrs, Amber | AMK401@pitt.edu | AMK401 | UNSPECIFIED | UNSPECIFIED | Kazas, Peter | PZK3@pitt.edu | PZK3 | UNSPECIFIED | UNSPECIFIED | Lucente, Marisa | MDL75@pitt.edu | MDL75 | UNSPECIFIED | UNSPECIFIED | Moretti, Ashlynn | ABM117@pitt.edu | ABM117 | UNSPECIFIED |
|
Date: |
16 October 2023 |
Date Type: |
Completion |
Journal or Publication Title: |
Federal Election Commission Website |
Publisher: |
Federal Election Commission |
Place of Publication: |
Washington, D.C. |
Event Title: |
Undergraduate research collaborative |
Event Type: |
Other |
Schools and Programs: |
Dietrich School of Arts and Sciences > Communication: Rhetoric and Communication |
Refereed: |
No |
Uncontrolled Keywords: |
evidence, Federal Election Commission, Campaign advertising, communication, Artificial Intelligence, Undergraduate research |
Editors: |
Editors | Email | Pitt Username | ORCID |
---|
Mitchell, Goran R. | gordonm@pitt.edu | gordonm | UNSPECIFIED |
|
Official URL: |
https://sers.fec.gov/fosers/ |
Date Deposited: |
20 Oct 2023 19:15 |
Last Modified: |
20 Oct 2023 19:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/45453 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
|
View Item |