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                            Library & Multimedia
 A two-step approach to detect and understand dismisinformation events occurring in social media: A case study with critical times
NCJ Number
              308039
Journal

*Journal of Contingencies and Crisis Management* Volume: 31 Issue: 4 Dated: 2023 Pages: 826-842
Author(s)
          Seungwon Yang;
                        Haeyong Chung;
                        Dipak Singh;
                        Shayan Shams
Date Published

2023
Length
              17 pages
Annotation
              This paper presents a two-step approach to finding and confronting dis/misinformation on social media.
Abstract
              This article describes a novel two-step approach of detecting and understanding dis/misinformation events in social media that occur during disasters and crisis events. To detect false news events, the authors designed a deep learning-based detection algorithm and then trained it with a transfer learning scheme so that the algorithm could decide whether a given group of rumor-related tweets is a dis/misinformation event. For understanding how dis/misinformation was diffused in social networks and identifying those who are responsible for creating and consuming false information, the researchers present *DismisInfoVis*, which consists of various visualizations, including a social network graph, a map, line charts, pie charts, and bar charts. By integrating these deep learning and multi-view visualization techniques, the authors could gain a deeper insight into dis/misinformation events in social media from multiple angles. This article describes in detail the implementation, training process, and performance evaluations of the detection algorithm and the design and utilization of *DismisInfoVis* for dis/misinformation data analyses. The authors hope that this study will contribute to improving the quality of information generated and shared on social media during critical times, eventually helping both the affected and the general public recover from the impacts of disasters and crisis events. (Published Abstract Provided)
      
  
          Additional Details
Grant Number(s)
        2019-75-CX-K00


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
    
  
  
Date Published: January 1, 2023
    
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