Abstract
In the study of fake news spreading, it is essential to know how different types of spreaders differ in terms of their characteristics, interconnections, and cascading flow. The fake news graph analyzer (FNGA) is an open-source software that provides the required computations for such extended analyses on large graphs. Moreover, FNGA generates data for graph visualizations. Also, FNGA is designed to consider the spreading of both fake and true news simultaneously in the graph, leading to a variety of confrontational patterns. FNGA facilitates future research on fake news and the diffusion of any contagion within a graph of entities.
| Original language | English |
|---|---|
| Pages (from-to) | 1-3 |
| Number of pages | 3 |
| Journal | Software Impacts |
| Volume | 10 |
| DOIs | |
| Publication status | Published (in print/issue) - 26 Nov 2021 |
Funding
The study was partially funded by City University of Hong Kong Centre for Communication Research (No. 9360120) and Hong Kong Institute of Data Science (No. 9360163).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Fake news
- Social network
- Spreading process
- Graph analysis
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