2026-09-22T13:38:36Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/129627 2026-02-05 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

application/pdf en text Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01 The student, Mukhil Umashankar, accepted the attached license on 2025-05-05 at 11:48. The student, Mukhil Umashankar, submitted this Thesis for approval on 2025-05-05 at 11:58. This Thesis was approved for publication on 2025-05-06 at 16:13. DSpace SAF Submission Ingestion Package generated from Vireo submission #22206 on 2025-10-19 at 19:17:02 Quantifying and visualizing deliberative dialogue quality in online social spaces Umashankar, Mukhil 2025-05-06 Sundaram, Hari Deliberative Dialogue Visual Dashboard Graph Convolutional Network eng Social media spaces empower individuals to ideate, iterate, and refine their thinking through exposure to diverse perspectives and real-time feedback. However, in reality, these benefits are accompanied by toxicity, spam, and polarization. These negative features are especially prevalent in deliberative spaces. The effective functioning of these platforms is crucial for democracies as a substantial volume of public discourse on real-world issues takes place within them. This study offers a quantitative assessment of deliberative dialogue in news spaces, drawing its evaluative metrics from deliberative theory. A mix of linguistic and network-based methods is adopted to compute the indicators. The results of the assessment are presented through user-centric visualizations. The goal is to model deliberative quality and make it accessible to the general audience, recognizing their role in upholding high-standard deliberation. 2025-05 Thesis https://hdl.handle.net/2142/129627 Copyright 2025 Mukhil Umashankar Siebel School Comp & Data Sci Computer Science University of Illinois Urbana-Champaign M.S. Thesis