| Idea Name: |
Deception Detection |
| Slogan: |
Machine learning based mobile application |
| Supervisor Name: |
Dr. Pakeeza Akram |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
SEECS |
| Supervisor Department: |
Computer Science |
| Contact number: |
03114702475 |
| Email ID: |
[email protected] |
| Abstract: |
| We present a machine learning based mobile application that detects Fake News on social media. |
| What is the unmet need in society that your idea will fulfill ? |
| With the development of social networks fake news has been appearing in large numbers. With deceptive words people can get infected by fake news very easily. Therefore a detector that can predict the authenticity of news is highly necessary. |
| Who needs it ? How many would benefit ? |
| All social media uses can benefit from this mobile application. |
| How will the solution works |
| 1. Datasets on fake/real news will be collected, analyzed, cleaned and features will be extracted.2. ML algorithms will be trained using the datasets, tested and analyzed. 3. A mobile application will be created and linked to the ML module.4. App will ask user to login to Twitter. Tweets on user |
| Who are your competitors ? How is your solution different |
| Researchers are also working on fake news detection however not much work has been done to detect fake news explicitly on social media. Our solution provides a convenient way to let social media users detect deceptive and misleading information. |
| Status: |
new |
| Entry Date & Time: |
2020-12-22 (1732) |
