{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129627"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129627","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Quantifying and visualizing deliberative dialogue quality in online social spaces","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_has_math":false,"creators":["Umashankar, Mukhil"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Sundaram, Hari"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-05-06","date_published":"2025-05-06","updated_at":"2026-07-22T22:25:05Z","subjects":["Deliberative Dialogue","Visual Dashboard","Graph Convolutional Network"],"languages":["en","eng"],"rights":["Copyright 2025 Mukhil Umashankar"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129627","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sundaram, Hari"]},{"key":"dc:creator","label":"Author","values":["Umashankar, Mukhil"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-05-06","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Deliberative Dialogue","Visual Dashboard","Graph Convolutional Network"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Mukhil Umashankar"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129627"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantifying and visualizing deliberative dialogue quality in online social spaces"]}]}],"canonical_facts":{"dc:contributor":["Sundaram, Hari"],"dc:creator":["Umashankar, Mukhil"],"dc:date":["2025-05-06","2025-05"],"dc:description":["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","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129627"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Mukhil Umashankar"],"dc:subject":["Deliberative Dialogue","Visual Dashboard","Graph Convolutional Network"],"dc:title":["Quantifying and visualizing deliberative dialogue quality in online social spaces"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:05Z"}