{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127345"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127345","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Misinformation spread mechanism and control strategies in social media under public emergencies","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_has_math":false,"creators":["Yang, Xiujia"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Informatics","degree_department":null,"school":null,"contributors":["Oh, Sang-Hwa","Yang, Junghwan","Houston, Brant","Kilicoglu, Hali"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-11-19","date_published":"2024-11-19","updated_at":"2026-07-22T22:25:03Z","subjects":["Social Meida","Natural Language Processing"],"languages":["eng","en"],"rights":["Copyright 2024 Xiujia Yang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127345","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Oh, Sang-Hwa","Yang, Junghwan","Houston, Brant","Kilicoglu, Hali"]},{"key":"dc:creator","label":"Author","values":["Yang, Xiujia"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-11-19","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Informatics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Social Meida","Natural Language Processing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng","en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Xiujia Yang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127345"]}]},{"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 2026-12-01","The student, Xiujia Yang, accepted the attached license on 2024-11-10 at 09:02.","The student, Xiujia Yang, submitted this Dissertation for approval on 2024-11-10 at 09:16.","This Dissertation was approved for publication on 2024-11-19 at 14:44.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21306 on 2025-03-28 at 14:43:04","The pervasive nature of social media has amplified the spread of misinformation, especially under public emergencies. This dissertation investigates the mechanisms underlying the dissemination of misinformation and proposes effective control strategies to mitigate its impact. Through an in-depth analysis of existing literature and case studies, the general propagation patterns of misinformation on social media under public emergencies are examined, particularly through the comparative analysis of the simultaneous propagation of non-misinformation. To better understand the spread mechanism of misinformation on social media under public emergencies, a dynamic model is constructed that represents the spread process and the status of the user. The model includes the debunking process and is validated through real-world social media networks. Additionally, the impacts of different parameters on the spread process are further investigated in simulations. Furthermore, the dissertation proposes strategies to control the spread of misinformation under public emergencies by conducting a comprehensive analysis of users and the propagation path of information, particularly from the task of misinformation detection. A model is built with the integration of user behavior information and information propagation structure, demonstrating improved performance compared to the benchmark misinformation detection models. In general, this dissertation explores the mechanisms of misinformation propagation under public emergencies by examining general propagation patterns, constructing a dynamical model, and proposing strategies for social media platforms to control misinformation through user behavior and information propagation structure analysis."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Misinformation spread mechanism and control strategies in social media under public emergencies"]}]}],"canonical_facts":{"dc:contributor":["Oh, Sang-Hwa","Yang, Junghwan","Houston, Brant","Kilicoglu, Hali"],"dc:creator":["Yang, Xiujia"],"dc:date":["2024-11-19","2024-12"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","The student, Xiujia Yang, accepted the attached license on 2024-11-10 at 09:02.","The student, Xiujia Yang, submitted this Dissertation for approval on 2024-11-10 at 09:16.","This Dissertation was approved for publication on 2024-11-19 at 14:44.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21306 on 2025-03-28 at 14:43:04","The pervasive nature of social media has amplified the spread of misinformation, especially under public emergencies. This dissertation investigates the mechanisms underlying the dissemination of misinformation and proposes effective control strategies to mitigate its impact. Through an in-depth analysis of existing literature and case studies, the general propagation patterns of misinformation on social media under public emergencies are examined, particularly through the comparative analysis of the simultaneous propagation of non-misinformation. To better understand the spread mechanism of misinformation on social media under public emergencies, a dynamic model is constructed that represents the spread process and the status of the user. The model includes the debunking process and is validated through real-world social media networks. Additionally, the impacts of different parameters on the spread process are further investigated in simulations. Furthermore, the dissertation proposes strategies to control the spread of misinformation under public emergencies by conducting a comprehensive analysis of users and the propagation path of information, particularly from the task of misinformation detection. A model is built with the integration of user behavior information and information propagation structure, demonstrating improved performance compared to the benchmark misinformation detection models. In general, this dissertation explores the mechanisms of misinformation propagation under public emergencies by examining general propagation patterns, constructing a dynamical model, and proposing strategies for social media platforms to control misinformation through user behavior and information propagation structure analysis."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127345"],"dc:language":["eng","en"],"dc:rights":["Copyright 2024 Xiujia Yang"],"dc:subject":["Social Meida","Natural Language Processing"],"dc:title":["Misinformation spread mechanism and control strategies in social media under public emergencies"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Informatics"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:03Z"}