Consumer reaction to inflation news: simulation analysis of stress in response to the news language

Submission information

Submission Number: 195

Submission ID: 4446

Submission UUID: 9d09da57-9b55-46f5-99ee-0d9df448bb94

Submission URI: /form/project

Created: Mon, 03/25/2024 - 11:53

Completed: Mon, 03/25/2024 - 11:54

Changed: Mon, 10/20/2025 - 14:59

Remote IP address: 71.58.230.184

Submitted by: Carrie Brown

Language: English

Is draft: No

Webform: Project

Received Sent 0

Accept and Publish Sent 0

Project Title Consumer reaction to inflation news: simulation analysis of stress in response to the news language

Program CAREERS

Project Image {Empty}

Tags {Empty}

Status Complete

Project Leader

Project Leader Nonna Sorokina

Email sorokina@psu.edu

Project Personnel

Mentor(s) {Empty}

Student-facilitator(s) JENNIFER Yin

Mentee(s) {Empty}

Project Information

Project Description Collect news using Google search and Lexis Nexis period press repository. Collect CPI inflation data (aggregate and components) and further develop textual analysis-based routine to associate news with change in inflation. Use generative AI to produce text with targeted expectations.

Project Information Subsection

Project Deliverables {Empty}

Student Research Computing Facilitator Profile {Empty}

Mentee Research Computing Profile {Empty}

Student Facilitator Programming Skill Level {Empty}

Mentee Programming Skill Level {Empty}

Project Institution Penn State University

Project Address {Empty}

Anchor Institution CR-Penn State

Preferred Start Date {Empty}

Start as soon as possible. No

Project Urgency Already behind3Start date is flexible

Expected Project Duration (in months) {Empty}

Launch Presentation {Empty}

Launch Presentation Date 05/17/2024

Wrap Presentation {Empty}

Wrap Presentation Date 08/14/2024

Project Milestones

Milestone Title: Tune up Web scraper and NPL classifier; Collect inflation data
Milestone Description: Adapt pre-built code to collect inflation-related news. Identify proper search terms, clean up the results. Obtain and organize CPI data. Adjust existing NLP code to associate news with changes in inflation measure by CPI.
Completion Date Goal: 2024-05-10
Milestone Title: Associate inflation expectations and moves with PULSE survey data
Milestone Description: Link actual and expected changes in inflation to the PULSE dataset that contains health-related data and demographics. Explore heterogeneity in reactions to inflation and inflation expectations using regression analysis.
Completion Date Goal: 2024-06-10
Milestone Title: Create targeted text modules with generative AI
Milestone Description: Based on the data obtained in (1) and (2) explore generating keywords and texts for inflation news that are expected to trigger/avoid certain reactions among different groups of population.
Completion Date Goal: 2024-07-10

Github Contributions {Empty}

Planned Portal Contributions (if any) {Empty}

Planned Publications (if any) {Empty}

What will the student learn? {Empty}

What will the mentee learn? {Empty}

What will the Cyberteam program learn from this project? {Empty}

HPC resources needed to complete this project? {Empty}

Notes {Empty}

Final Report

What is the impact on the development of the principal discipline(s) of the project? {Empty}

What is the impact on other disciplines? {Empty}

Is there an impact physical resources that form infrastructure? {Empty}

Is there an impact on the development of human resources for research computing? {Empty}

Is there an impact on institutional resources that form infrastructure? {Empty}

Is there an impact on information resources that form infrastructure? {Empty}

Is there an impact on technology transfer? {Empty}

Is there an impact on society beyond science and technology? {Empty}

Lessons Learned {Empty}

Overall results {Empty}