Americans ‘support’ the idea of tuition-free college: an exploration of sentiment and political identity signals otherwise

Collier, Daniel; Mishra, Shubhanshu; Houston, Derek A.; Hensley, Brandon O.; Hartlep, Nicholas D.

doi:10.1080/0309877x.2017.1361516

Cited by 13 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Before tensions surrounding COVID-19 arose, political partisanship had been linked with eroding trust in higher education (Doherty et al, 2017 ), adjustments to state-based financial support (Dar & Lee, 2014 ; Taylor et al, 2020 ), and responses to emergent higher education policies, such as tuition-free college (Collier et al, 2019 ). State and local governments have generally bent to the will of the national party platforms (Hopkins, 2018 ).…”

Section: Review Of the Literaturementioning

confidence: 99%

We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020

et al. 2021

Self Cite

View full text Add to dashboard Cite

Section: Review Of the Literaturementioning

confidence: 99%

We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020

et al. 2021

Self Cite

View full text Add to dashboard Cite

“…Where a citizen finds themselves located on the American left-right political spectrum (i.e., which side of the gap they stand and shout) typically determines how they view the debate surrounding the ballooning cost of a college education. Collier et al (2017) found that political identity along party sorting was a predictive factor in how individuals on social media responded to the idea of a federal tuition-free program. Collier et al also noted that many of these comments and attitudes coalesced around other policy issues that were unrelated to higher education financing and were issues previously steeped in party politics.…”

Section: Political Climatementioning

confidence: 99%

The Viability of Tuition-Free Community College

Ison

2020

Educational Policy

View full text Add to dashboard Cite

Free higher education has become a major policy discussion of the past few years, one that is often debated or supported along partisan lines. Those supporting this policy initiative often point to the rising cost of a college education and the barrier it creates for underrepresented populations hoping to access higher education. Others point to a broken financial aid system that leaves more individuals financing their education through student loans, adding to a massive national loan debt now exceeding a trillion dollars. Various arguments for and against a free-tuition program within the American higher education system are addressed. While an argument can be made that all public American higher education should be tuition-free, limiting a large-scale federal program to the American community college has economic and political implications that could make the policy more feasible for a larger percentage of the American public.

show abstract

“…2. In Collier et al [2017] and Collier et al [2019], we worked on extracting information from Facebook comments about tuition free college to understand the discourse around the topic as well as alignment between sentiment and political identities.…”

Section: Other Related Workmentioning

confidence: 99%

Information extraction from digital social trace data with applications to social media and scholarly communication data

Mishra¹

2021

SIGWEB Newsl.

Self Cite

View full text Add to dashboard Cite

Shubhanshu is a Machine Learning Researcher at Twitter working on the Content Understanding Research team. He finished his Ph.D. at the iSchool, University of Illinois at Urbana-Champaign, where he worked as a research assistant with Dr. Jana Diesner and Dr. Vetle Torvik on projects funded by NIH, NSF, KISTI, and Army Research Lab. Shubhanshu's research work is at the intersection of machine learning, information extraction, social network analysis, and visualizations. His work won then Best Student Paper Award at ASIS&T SIGMET workshop. Shubhanshu has published multiple open source projects as well as open datasets related to his research. More information about Shubhanshu can be found at: https://shubhanshu.com. In his thesis, Shubhanshu worked on unifying the concept of information extraction from social media data and scholarly data under the framework of Digital Social Trace Data (DSTD). This framework allow us to answer questions like conceptual novelty, expertise in scientific communities as well as influential users in social media corpus. He further proposed improved information extraction techniques for social media text by using active, semi-supervised, and multi-task machine learning along with the inclusion of meta-data. Additionally, his work resulted in the development of a visualization framework for DSTD along with multiple open source tools and datasets. For more details visit https://shubhanshu.com/phd_thesis/.

show abstract

Americans ‘support’ the idea of tuition-free college: an exploration of sentiment and political identity signals otherwise

Cited by 13 publications

References 25 publications

We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020

We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020

The Viability of Tuition-Free Community College

Information extraction from digital social trace data with applications to social media and scholarly communication data

Contact Info

Product

Resources

About