Develop an AI-based tool that detects and flags fake news content on social media platforms, contributing to the reduction of misinformation online.

Background:

The proliferation of fake news on social media platforms presents a pervasive challenge, undermining trust in information and influencing public opinion. Traditional methods of combating misinformation struggle to keep pace with the rapid spread of false content, exacerbated by increasingly sophisticated dissemination tactics. In response, researchers are turning to AI and machine learning to develop automated tools capable of detecting and mitigating fake news in real-time. However, significant challenges remain, including algorithmic bias and ethical concerns. This project aims to contribute to the advancement of knowledge and the development of practical solutions for detecting and mitigating fake news spread on social media using AI, drawing on interdisciplinary expertise to promote a more informed and resilient digital public sphere.

Problem statement:

The proliferation of fake news on social media platforms presents a significant challenge in today's digital age, undermining trust in information and influencing public opinion. Despite efforts to combat this issue, existing methods often fall short in effectively detecting and mitigating fake news spread. Thus, there is a pressing need for the development of advanced AI-based tools capable of accurately identifying and flagging fake news content on social media platforms to mitigate its harmful effects.

Objectives:

1. To analyze the characteristics and patterns of fake news content spread on popular social media platforms to identify common features and trends.
2. To develop an AI-based detection model capable of effectively identifying fake news content based on linguistic, semantic, and contextual analysis.
3. To evaluate the performance and accuracy of the developed AI-based tool through rigorous testing and validation using diverse datasets and real-world scenarios.
4. To implement a system for real-time monitoring and flagging of fake news content across various social media platforms.

Main Modules:

• AI module ( Garren )
• Web and plugin module (Aniq)

Title taken by:

• AWANGKU ANIQ HAMIZ BIN AWANGKU BADARUDDIN
• GARREN LUTHER PANGGAU

Not identified yet.