Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program


Abstract:

This project explores public opinion on the Supplemental Nutrition Assistance Program (SNAP) in news and social media outlets, and tracks elected representatives’ voting records on issues relating to SNAP and food insecurity. We used machine learning, sentiment analysis, and text mining to analyze national and state level coverage of SNAP in order to gauge perceptions of the program over time across these outlets. Results indicate that the majority of news coverage has negative sentiment, more partisan news outlets have more extreme sentiment, and that clustering of negative reporting on SNAP occurs in the Midwest. Our final results and tools will be displayed in an online application that the ACFB Advocacy team can use to inform their communication to relevant stakeholders.

Año de publicación:

2018

Keywords:

  • Data Mining
  • data visualization
  • Data Analysis
  • geographic information studies
  • information communication technology

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ciencias sociales
  • Nutrición
  • Seguridad alimentaria

Áreas temáticas de Dewey:

  • Otros problemas y servicios sociales
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 2: Hambre cero
  • ODS 10: Reducción de las desigualdades
  • ODS 17: Alianzas para lograr los objetivos
Procesado con IAProcesado con IA