University of Illinois Urbana-Champaign

Misinformation spread mechanism and control strategies in social media under public emergencies

Yang, Xiujia

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https://hdl.handle.net/2142/127345

Description

Title
Misinformation spread mechanism and control strategies in social media under public emergencies
Author(s)
Yang, Xiujia
Issue Date
2024-11-19
Director of Research (if dissertation) or Advisor (if thesis)
  • Oh, Sang-Hwa
  • Yang, Junghwan
Doctoral Committee Chair(s)
  • Oh, Sang-Hwa
  • Yang, Junghwan
Committee Member(s)
  • Houston, Brant
  • Kilicoglu, Hali
Department of Study
Illinois Informatics Institute
Discipline
Informatics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • Social meida
  • Natural language processing
Abstract
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.
Graduation Semester
2024-12
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/127345
Copyright and License Information
Copyright 2024 Xiujia Yang

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