Fake news and hoaxes have been there since before the advent of the Internet. Social media platforms are used to publish fake news to increase viewership or as part of psychological warfare. In recent years there has been a widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. The main objective of our project is to differentiate between the real and fake twitter trends. We aim to report fake twitter trends on real time using machine learning algorithm and display it using web and mobile applications. We will maintain a database where we will store trends on daily, weekly and monthly basis and display it on our web and mobile applications. This system will be capable of displaying trends analytic reports on a daily and monthly basis and this can also provide the users with historical fake trends which resulted in great chaos.

1. Real Time Inorganic
Trends Detection
Ghulam Ishaq Khan Institute of Engineering Sciences And Technology
Faculty of Computer Engineering

2. Group Members
Advisor:
Mr. Ali Shaukat
Co-Advisor:
Dr. Syed Fawad Hussain
Muhammad Sameed Siddiqi | 2017314
Muhammad Maaz | 2017290
Muhammad Shahbaz Ahmad | 2017315
Maaz Dost | 2017186
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3. 1. Recap
Let’s start with a brief summary of our project

4. Introduction
▫ Social media platforms are used to publish fake news,
to increase viewership or as part of psychological warfare
▫ Inorganic twitter trends detection is important to many
people and organizations
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5. Introduction
▫ The reason for this detector is to educate people about
the fake propaganda campaigns and forged news
▫ We intend to list all the featuring inorganic trends which
are created in Pakistan using the web and android
applications
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6. Objectives
▫ Differentiate between the
organic and inorganic
twitter trends
▫ Report inorganic twitter
trends on real time
Objective And Scope
Scope
▫ The twitter trends of a
particular region i.e,
Pakistan will only
be displayed on our front-
end platforms
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7. 2. Project Deliverables

8. Work Breakdown Structure
1. Data Collection
• Trends collection
• Related tweets
collection
• Related user collection
2. Database System
3. Features Extraction
• Determining useful
features
• Retrieving features
using SQL queries
• Design and Implement
ER diagram
• Map relationships
• Data Storing

9. Work Breakdown Structure
4. ML Algorithm
5. Backend System
6. Frontend Systems
• Responsive and user-
friendly design
• Displaying data
• Graphical
representations
• APIs development
• APIs Testing
• Integration with
frontend systems
• Algorithm training
• Algorithm testing
• Checking accuracy

10. 3. Project Demo

11. 11
Web
Application

12. Mobile
Application Place your screenshot here
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13. Mobile
Application
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14. 4. Poster Design

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16. Project selected for the 10
Pearls FYP Accelerator Program

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Thanks!
Any questions?