Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Akshay Irudayaraj, Nathan Ye, Yash Chainani

TL;DR
This study investigates how media framing influences public sentiment on homelessness over time and across states, revealing a significant correlation between media narratives and public attitudes, but not directly with legislation.
Contribution
It applies advanced NLP techniques and longitudinal analysis to validate framing theory in the context of homelessness media coverage and public sentiment.
Findings
Significant correlation between media framing and public sentiment.
No significant link between media framing and legislation.
Media narratives impact societal attitudes more than policy.
Abstract
Within the field of media framing, homelessness has been a historically under-researched topic. Framing theory states that the media's method of presenting information plays a pivotal role in controlling public sentiment toward a topic. The sentiment held towards homeless individuals influences their ability to access jobs, housing, and resources as a result of discrimination. This study analyzes the topic and sentiment trends in related media articles to validate framing theory within the scope of homelessness. It correlates these shifts in media reporting with public sentiment. We examine state-level trends in California, Florida, Washington, Oregon, and New York from 2015 to 2023. We utilize the GDELT 2.0 Global Knowledge Graph (GKG) database to gather article data and use X to measure public sentiment towards homeless individuals. Additionally, to identify if there is a correlation…
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Taxonomy
TopicsHomelessness and Social Issues · Library Science and Administration · Crime, Deviance, and Social Control
