Project Details
Description
Fake news or misinformation related to the pandemic has misled people to eschew the vaccine, masks and social distancing, thus putting public health at risk. This research aims to create a first-generation COVID-19 information-assessment dashboard for publicly available, social media messages. The research will:
1. Develop information theory to identify COVID-19 tweets linked to fake news and its dissemination within and across networks;
2. Operationalise this theoretical model with artificial intelligence (AI) / machine learning (ML) and advanced statistics;
3. Determine how COVID-19 tweets spread within and across communities (scope, speed, and shape) and their antecedents across levels; and
4. Create an AI/ML-based dashboard to track the diffusion of COVID fake news tweets within and across online communities in real time.
Funding Source: RGC - Senior Research Fellow Scheme
Funding Source: RGC - Senior Research Fellow Scheme
| Status | Active |
|---|---|
| Effective start/end date | 01/01/23 → 31/12/27 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Fake news, Social media, Machine learning, Statistical Discourse Analysis, Computational linguistics
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