Machine learning to detect false information related to Covid-19
The outbreak of Coronavirus disease 2019 (COVID-19) have resulted in a global crisis with death tolls surpassing millions and crippling many countries’ economy. Having garnered the world’s attention, COVID-19 has been the topic the media has placed its focus on across the past year. However, this...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/153134 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The outbreak of Coronavirus disease 2019 (COVID-19) have resulted in a global crisis with death
tolls surpassing millions and crippling many countries’ economy. Having garnered the world’s
attention, COVID-19 has been the topic the media has placed its focus on across the past year.
However, this has also led to the spread of false news related to COVID-19 over the Internet. While
the intent of spreading such untrue news is unclear, they have mislead many people and is a major
source of misunderstanding. Thus, there is a need to differentiate legitimate news from the fabricated
ones. This project intends to serve this purpose by designing a Chrome extension that can recognize
fake news from online websites. The extension will analyse the content of the websites and display
the results to the user. The frontend of the extension includes the User-Interface (UI) design done
using JavaScript and HTML languages, while the backend utilizes Postgres Database to record user
activities. The extension is hosted on Heroku cloud server. |
|---|