Back to Search Start Over

Americans 'Support' the Idea of Tuition-Free College: An Exploration of Sentiment and Political Identity Signals Otherwise

Authors :
Collier, Daniel A.
Mishra, Shubhanshu
Houston, Derek A.
Hensley, Brandon O.
Hartlep, Nicholas D.
Source :
Journal of Further and Higher Education. 2019 43(3):347-362.
Publication Year :
2019

Abstract

In January 2015, President Obama captured headlines in the US by announcing America's College Promise (ACP), a policy that would reverse four decades of privatisation in higher education by making community colleges 'tuition-free'. This research explores the conversation that unfolded across the Facebook pages of various media sources. Key phrases associated with sentiments and communication styles are uncovered using a Bag of Words (BoW) technique. Next, guided by political identity theory, the researchers employ logistic regression to explore variable effects (e.g. source, gender, race, age and political leaning) on communicating: (1) Against ACP, (2) in a Civil manner, and (3) Against/Civil/On-Topic. BoW models suggest those against the policy utilise anti-free-ride, privatisation rhetoric, whereas those using uncivil language attack commentators and groups who counter personally-held political beliefs -- while also introducing non-sequiturs from other policies (e.g. healthcare and immigration). The combined communication styles unlocked tokens not found in larger sentiments, such as concerns over student loan debt. Logistic regression illustrates that, depending on sentiment or communication style explored, political identities and memberships associated with source and political alignment significantly affected likelihoods of communicating in the conversation. These findings are linked back to political identity theory.

Details

Language :
English
ISSN :
0309-877X
Volume :
43
Issue :
3
Database :
ERIC
Journal :
Journal of Further and Higher Education
Publication Type :
Academic Journal
Accession number :
EJ1207708
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/0309877X.2017.1361516