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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/153134 |
| _version_ | 1811687021862715392 |
|---|---|
| author | Tan, Sven Wei Jie |
| author2 | Zhang Jie |
| author_facet | Zhang Jie Tan, Sven Wei Jie |
| author_sort | Tan, Sven Wei Jie |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:09:42Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/153134 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:09:42Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1531342021-12-03T05:30:43Z Machine learning to detect false information related to Covid-19 Tan, Sven Wei Jie Zhang Jie School of Computer Science and Engineering ZhangJ@ntu.edu.sg Engineering::Computer science and engineering::Software 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. Bachelor of Engineering (Computer Science) 2021-11-09T01:12:43Z 2021-11-09T01:12:43Z 2021 Final Year Project (FYP) Tan, S. W. J. (2021). Machine learning to detect false information related to Covid-19. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153134 https://hdl.handle.net/10356/153134 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Software Tan, Sven Wei Jie Machine learning to detect false information related to Covid-19 |
| title | Machine learning to detect false information related to Covid-19 |
| title_full | Machine learning to detect false information related to Covid-19 |
| title_fullStr | Machine learning to detect false information related to Covid-19 |
| title_full_unstemmed | Machine learning to detect false information related to Covid-19 |
| title_short | Machine learning to detect false information related to Covid-19 |
| title_sort | machine learning to detect false information related to covid 19 |
| topic | Engineering::Computer science and engineering::Software |
| url | https://hdl.handle.net/10356/153134 |
| work_keys_str_mv | AT tansvenweijie machinelearningtodetectfalseinformationrelatedtocovid19 |