Idea - FICS

Deception Detection

Team and Contact Details

Student Name School Degree Year Email
Zaim Bin

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

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:
    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)