A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators
This study explores the global problem of misinformation dissemination on social media, particularly Twitter, due to the COVID-19 pandemic. It identifies prominent disseminators, investigates the spread of false information and the ecosystem of disinformation spreaders, and assesses their online per...
Saved in:
| Main Authors: | Asma Ul Hussna, Risul Islam, Md Golam Rabiul Alam, Jia Uddin, Imran Ashraf, Md Abdus Samad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959524001358 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mapping misinformation gatekeepers in non-western contexts: A computational network analysis of fake news on X (Twitter) using Gephi
by: Moumita Roy, et al.
Published: (2025-06-01) -
Research on Fake Content Shared on Twitter About the Economy
by: Mehmet Sinan Tam, et al.
Published: (2024-05-01) -
Data citizenship: rethinking data literacy in the age of disinformation, misinformation, and malinformation
by: Elinor Carmi, et al.
Published: (2020-05-01) -
Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter
by: Dominika Nadia Wojtczak, et al.
Published: (2023-01-01) -
Health Misinformation in Social Networks: A Survey of Information Technology Approaches
by: Vasiliki Papanikou, et al.
Published: (2025-03-01)