Yu-Wang Chen
Biographic Data
| ID | 3718615 |
|---|---|
| NAME | Yu-Wang Chen |
| GIVEN NAMES | Yu-Wang |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | University of Manchester |
| ORCID | 0000-0002-2007-1821 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks
The past decade has seen a rapid and vast adoption of social media globally and over sixty percent of people were connected online through various social media platforms as of the start of 2024. Despite many advantages social media offers, one of the most significant challenges is the rapid rise of fake news and AI-generated deepfakes across these social networks. The spread of fake news and deepfakes can lead to a series of negative impacts, suc…
Multimodal review helpfulness prediction with a multi-level cognitive reasoning mechanism
Visualising regional disparities in the risk of Covid-19 at different phases of lockdown in England
Since late January 2020 when the first coronavirus case reached England, United Kingdom, the coronavirus disease 2019 (COVID-19) has spread rapidly and widely across all local authorities (LAs) in England. In this featured graphic, we visualise how COVID-19 severity changes nationally and locally from 30 January to 23 November 2020. The geo-visualisation shows that there have been large regional disparities in the severity of the outbreak, and th…
Visualising internal migration flows across local authorities in England and Wales
Internal migration has significant impacts on the population structure, public services, economic and social development of local areas. In this research, we adopted the theory and methods of complex network analysis to visualise the internal migration flows across local authorities in England and Wales. The graphic prominently highlights two spatial and geographic characteristics of population mobility in England and Wales: a large proportion of…
No prominent works on this page.
Visualising regional disparities in the risk of Covid-19 at different phases of lockdown in England
Since late January 2020 when the first coronavirus case reached England, United Kingdom, the coronavirus disease 2019 (COVID-19) has spread rapidly and widely across all local authorities (LAs) in England. In this featured graphic, we visualise how COVID-19 severity changes nationally and locally from 30 January to 23 November 2020. The geo-visualisation shows that there have been large regional disparities in the severity of the outbreak, and th…
Visualising internal migration flows across local authorities in England and Wales
Internal migration has significant impacts on the population structure, public services, economic and social development of local areas. In this research, we adopted the theory and methods of complex network analysis to visualise the internal migration flows across local authorities in England and Wales. The graphic prominently highlights two spatial and geographic characteristics of population mobility in England and Wales: a large proportion of…
Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks
The past decade has seen a rapid and vast adoption of social media globally and over sixty percent of people were connected online through various social media platforms as of the start of 2024. Despite many advantages social media offers, one of the most significant challenges is the rapid rise of fake news and AI-generated deepfakes across these social networks. The spread of fake news and deepfakes can lead to a series of negative impacts, suc…
Multimodal review helpfulness prediction with a multi-level cognitive reasoning mechanism
Computer Science (2 works) · Demography (2 works) · Geography (2 works) · Sociology (2 works) · 2019-20 coronavirus outbreak (1 work) · Advanced Malware Detection Techniques (1 work) · Analytics (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Cognition (1 work)