Work

A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators

Year: 2024

Type: article

Abstract: 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 personalities. We track the interaction among fake news spreaders using the User–User Interaction Graph. The study reveals a rapidly growing population of disseminators, including professional spreaders, with over 3% dominating the others. The collaboration among fake news spreaders is high, highlighting the need for further research using publicly available online data to understand the community spreading malicious misinformation about COVID-19.

Source: ICT Express

DOI: 10.1016/j.icte.2024.10.006

Authors: Asma Ul Hussna, Risul Islam, Md Golam Rabiul Alam, Jia Uddin, Imran Ashraf, Md Abdus Samad

Institutions: BRAC University, Palo Alto Networks (United States), Woosong University, Yeungnam University

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,500

OpenAlex ID: W4404056338

FWCI: 1.447

Cites: 16

Cited by: 2

Related to: 10