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

被引：4

作者：

Scott, Dorris ^{[1
]}

Oh, Jihwan ^{[2
]}

Chappelka, Miriam ^{[3
]}

Walker-Holmes, Mizzani ^{[4
]}

DiSalvo, Carl ^{[2
]}

机构：

[1] Univ Georgia, Athens, GA 30602 USA

[2] Georgia Inst Technol, Atlanta, GA 30332 USA

[3] Univ Penn, Philadelphia, PA 19104 USA

[4] Kennesaw State Univ, Marietta, GA USA

来源：

JOURNAL OF TECHNOLOGY IN HUMAN SERVICES | 2018年 / 36卷 / 01期

基金：

美国国家科学基金会;

关键词：

Data analysis; data mining; data visualization; geographic information studies; information communication technology;

D O I：

10.1080/15228835.2017.1416514

中图分类号：

C916 [社会工作、社会管理、社会规划];

学科分类号：

1204 ;

摘要：

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.

引用

页码：37 / 47

页数：11

共 50 条

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